Smartview (web graphics)

Server

Keep the data of trees and present a REST api to talk to the world.

REST call examples:

GET /trees Get all trees GET /trees/{id} Get the tree information identified by “id” POST /trees Create a new tree PUT /trees/{id} Update the tree information identified by “id” DELETE /trees/{id} Delete tree by “id”

class AppTree(tree: ete4.core.tree.Tree = None, name: str = None, style: ete4.smartview.renderer.treestyle.TreeStyle = None, nodestyles: dict = None, include_props: list = None, exclude_props: list = None, layouts: list = None, timer: float = None, initialized: bool = False, selected: dict = None, active: <function namedtuple at 0x7f063c947e20> = None, searches: dict = None)

__init__(tree: Tree = None, name: str = None, style: TreeStyle = None, nodestyles: dict = None, include_props: list = None, exclude_props: list = None, layouts: list = None, timer: float = None, initialized: bool = False, selected: dict = None, active: namedtuple = None, searches: dict = None) → None

active: namedtuple = None

exclude_props: list = None

include_props: list = None

initialized: bool = False

layouts: list = None

name: str = None

nodestyles: dict = None

searches: dict = None

selected: dict = None

style: TreeStyle = None

timer: float = None

tree: Tree = None

class GlobalStuff

activate_clade(tree_id)

activate_node(tree_id)

add_tree(data)

Add tree with given data and return its id

add_trees_from_request()

Add trees to app.trees and return a dict of {name: id}.

callback(tree_id)

change_selection_name(tid, args)

copy_style(tree_style)

deactivate_clade(tree_id)

deactivate_node(tree_id)

del_tree(tid)

Delete a tree and everywhere where it appears referenced

find_node(tree, args)

get_active_clade(node, active)

get_active_clades(results, parents)

get_command_search(text)

Return the appropriate node search function according to the command

get_drawer(tree_id, args)

Return the drawer initialized as specified in the args

get_eval_search(expression)

Return a function of a node that evaluates the given expression

get_fields(required=None, valid_extra=None)

Return fields and raise exception if missing required or invalid present

get_layouts(layouts=None)

get_layouts_from_getters()

Return a dict {name: [layout1, …]} for all layout submodules.

get_newick(tree_id, max_mb)

Return the newick representation of the given tree

get_nodes_info(tree, nodes, props)

get_parents(results, count_leaves=False)

Return a set of parents given a set of results

get_parser(internal)

Return parser given the internal nodes main property interpretation.

get_search_function(text)

Return a function of a node that returns True for the searched nodes

get_selection_info(tree, args)

Get selection info from their nodes

get_selections(tree_id)

get_stats(tree_id, pname)

Return some statistics about the given property pname

get_tid(tree_id)

Return the tree id and the subtree id, with the appropriate types.

get_topological_search(pattern)

Return a function of a node that sees if it matches the given pattern

get_trees_from_file(filename, fileobject=None)

Return list of {‘name’: …, ‘newick’: …} extracted from file.

get_trees_from_form()

Return list of dicts with tree info read from a form in the request.

get_trees_from_nexus_or_newick(btext, name_newick)

Return list of {‘name’: …, ‘newick’: …} extracted from btext.

initialize(tree=None, layouts=None, include_props=None, exclude_props=None, safe_mode=False, compress=False)

Initialize the global object app.

initialize_tree_style(tree, ultrametric=False)

json_error(error)

load_tree(tree_id)

Add tree to app.trees and initialize it if not there, and return it

load_tree_from_newick(tid, nw)

Load tree into memory from newick

maintenance(app, check_interval=60, max_time=1800)

Perform maintenance tasks every check_interval seconds.

make_name()

Return a unique tree name like ‘tree-<number>’.

modify_tree_fields(tree_id)

Modify in the database the tree fields that appear in a request

nice_html(content, title='Tree Explorer')

open_browser_window(host, port)

Try to open a browser window in a different process.

prune_by_selection(tid, args)

Prune tree by keeping selections identified by their names

remove_active(tree, idx)

remove_active_clade(node, active)

remove_search(tid, args)

Remove search

remove_selection(tid, args)

Remove selection

req_json()

Return what request.json would return, but gracefully aborting.

retrieve_layouts(layouts)

retrieve_tree(tid)

Retrieve tree from file and return its name, tree structure, and layouts.

It retrieves all that from a previously saved pickle file in /tmp.

run_smartview(tree=None, name=None, layouts=[], include_props=None, exclude_props=None, safe_mode=False, host='localhost', port=5000, quiet=True, compress=False, keep_server=False, open_browser=True)

safer_eval(code, context)

Return a safer version of eval(code, context)

search_to_selection(tid, args)

Store search as selection

sort(tree_id, node_id, key_text, reverse)

Sort the (sub)tree corresponding to tree_id and node_id

store_active(tree, idx, args)

store_search(tree_id, args)

Store the results and parents of a search and return their numbers

store_selection(tree_id, args)

Store the results and parents of a selection and return their numbers

touch_and_get(tree_id)

Load tree, update its timer, and return the tree object and subtree.

unselect_node(tree_id, args)

update_app_available_layouts()

update_layouts(active_layouts, tid)

Update app layouts based on front end status

update_node_props(node, args)

update_node_style(node, args)

update_selection(tree, name, results, parents)

Renderer

Drawer

Classes and functions for drawing a tree.

class Active(results, parents)

parents

Alias for field number 1

results

Alias for field number 0

class Drawer(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

Base class (needs subclassing with extra functions to draw)

COLLAPSE_SIZE = 6

MIN_SIZE = 1

NPANELS = 1

TYPE = 'base'

__init__(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

draw()

Yield graphic elements to draw the tree

draw_aligned_headers()

draw_collapsed(collapsed_node, active_children=(0, 0), selected_children=[])

Yield graphic elements to draw the list of nodes in self.collapsed

draw_content(node, point, active_children=(0, 0), selected_children=[])

Yield the node content’s graphic elements

draw_node(node, point, bdx, bdy, bdy0, bdy1, active_children=(0, 0), selected_children=[])

Yield graphic elements to draw the contents of the node

flush_outline(minimum_dx=0)

Return box outlining the collapsed nodes and reset the current outline

get_active_children()

get_collapsed_node()

Get node that will be rendered as a collapsed node. Either the only node collapsed or the parent of all collapsed nodes.

get_outline()

Yield the outline representation.

get_popup_props(node)

Return dictionary of web-safe node properties (to use in a popup).

get_selected_children()

is_fully_collapsed(collapsed_node)

Returns true if collapsed_node is utterly collapsed, i.e. has no branch width

on_first_visit(point, it, graphics)

Update list of graphics to draw and return new position

on_last_visit(point, it, graphics)

Update list of graphics to draw and return new position

class DrawerAlignCircFaces(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

NPANELS = 2

class DrawerAlignRectFaces(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

NPANELS = 4

class DrawerCirc(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

Minimal functional drawer for a circular representation

TYPE = 'circ'

__init__(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

content_size(node)

Return the size of the node’s content

draw_childrenline(p1, p2, style)

Yield an arc spanning children that starts at p1 and ends at p2

draw_collapsed(collapsed_node, active_children=(0, 0), selected_children=[])

Yield graphic elements to draw the list of nodes in self.collapsed

draw_lengthline(p1, p2, parent_of, style)

Yield a line representing a length

draw_nodebox(node, node_id, box, searched_by, style=None)

draw_nodedot(center, max_size, active_node, style)

flush_outline(minimum_dr=0)

Return box outlining the collapsed nodes

get_box(element)

in_viewport(box, pos=None)

is_small(box)

node_size(node)

Return the size of a node (its content and its children)

class DrawerCircFaces(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

draw_collapsed(collapsed_node, active_children=(0, 0), selected_children=[])

Yield graphic elements to draw the list of nodes in self.collapsed

draw_node(node, point, bdr, bda, bda0, bda1, active_children=(0, 0), selected_children=[])

Yield graphic elements to draw the contents of the node

class DrawerRect(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

Minimal functional drawer for a rectangular representation

TYPE = 'rect'

content_size(node)

Return the size of the node’s content

draw_childrenline(p1, p2, style)

Yield a line spanning children that starts at p1 and ends at p2

draw_collapsed(collapsed_node, active_children=(0, 0), selected_children=[])

Yield graphic elements to draw the list of nodes in self.collapsed

draw_lengthline(p1, p2, parent_of, style)

Yield a line representing a length

draw_nodebox(node, node_id, box, searched_by, style=None)

draw_nodedot(center, max_size, active_node, style)

Yield circle or square on node based on node.sm_style

get_box(element)

in_viewport(box, pos=None)

is_small(box)

node_size(node)

Return the size of a node (its content and its children)

class DrawerRectFaces(tree, viewport=None, panel=0, zoom=(1, 1), limits=None, collapsed_ids=None, active=None, selected=None, searches=None, layouts=None, tree_style=None, include_props=None, exclude_props=None)

draw_collapsed(collapsed_node, active_children=(0, 0), selected_children=[])

Yield graphic elements to draw the list of nodes in self.collapsed

draw_node(node, point, bdx, bdy, bdy0, bdy1, active_children=(0, 0), selected_children=[])

Yield graphic elements to draw the contents of the node

class Size(dx, dy)

dx

Alias for field number 0

dy

Alias for field number 1

class TreeActive(nodes, clades)

clades

Alias for field number 1

nodes

Alias for field number 0

dist(node)

Return the distance of a node, with default values if not set.

drawn_size(elements, get_box, min_x=None)

Return the size of a box containing all the elements

get_asec(element, zoom=(0, 0))

Return the annular sector that contains the given graphic element

get_drawers()

get_empty_active()

get_rect(element, zoom=(0, 0))

Return the rectangle that contains the given graphic element

make_box(point, size)

safe_string(prop)

stack(box1, box2)

Return the box resulting from stacking the given boxes.

Draw helpers

class Box(x, y, dx, dy)

dx

Alias for field number 2

dy

Alias for field number 3

x

Alias for field number 0

y

Alias for field number 1

class Padding(x, y)

x

Alias for field number 0

y

Alias for field number 1

cartesian(point)

circumasec(rect)

Return the annular sector that circumscribes the given rectangle

circumrect(asec)

Return the rectangle that circumscribes the given annular sector

clip_angles(a1, a2)

Return the angles such that a1 to a2 extend at maximum from -pi to pi

draw_arc(p1, p2, large=False, arc_type='', style=None)

draw_array(box, a, tooltip=None)

draw_arrow(box, tip, orientation='right', arrow_type='', style=None, tooltip=None)

Create arrow provided a bounding box

draw_circle(center, radius, circle_type='', style=None, tooltip=None)

draw_ellipse(center, rx, ry, ellipse_type='', style=None, tooltip=None)

draw_html(box, html, html_type='', style=None)

draw_img(box, img, img_type='', style=None)

draw_line(p1, p2, line_type='', parent_of=None, style=None)

draw_nodebox(box, name='', properties=None, node_id=None, searched_by=None, style=None)

draw_outline(box, style=None)

draw_rect(box, rect_type, style=None, tooltip=None)

draw_rhombus(box, rhombus_type='', style=None, tooltip=None)

Create rhombus provided a bounding box

draw_slice(center, r, a, da, slice_type='', style=None, tooltip=None)

draw_text(box, text, text_type='', rotation=0, anchor=None, style=None)

draw_triangle(box, tip, triangle_type='', style=None, tooltip=None)

Returns array with all the information needed to draw a triangle in front end. :box: bounds triangle :tip: defines tip orientation ‘top’, ‘left’ or ‘right’. :triangle_type: will label triangle in front end (class)

first_value(tree, prop)

Return the value of the requested property for the first node that has it

get_line_type(style)

get_xs(box)

get_ys(box)

intersects_angles(rect, asec)

Return True if any part of rect is contained within the angles of the asec

intersects_box(b1, b2)

Return True if the boxes b1 and b2 (of the same kind) intersect

intersects_segment(s1, s2)

Return True if the segments s1 and s2 intersect

split_thru_negative_xaxis(rect)

Return a list of rectangles resulting from cutting the given one

summary(nodes, prop='name')

Return a list of names summarizing the given list of nodes

Faces

class AlignLinkFace(stroke_color='gray', stroke_width=0.5, line_type=1, opacity=0.8)

__init__(stroke_color='gray', stroke_width=0.5, line_type=1, opacity=0.8)

Line types: 0 solid, 1 dotted, 2 dashed

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

fits()

Return True if Face fits in computed box. Method overriden by inheriting classes.

get_box()

class AlignmentFace(seq, seqtype='aa', gap_format='line', seq_format='[]', width=None, height=None, fgcolor='black', bgcolor='#bcc3d0', gapcolor='gray', gap_linewidth=0.2, max_fsize=12, ftype='sans-serif', padding_x=0, padding_y=0)

__init__(seq, seqtype='aa', gap_format='line', seq_format='[]', width=None, height=None, fgcolor='black', bgcolor='#bcc3d0', gapcolor='gray', gap_linewidth=0.2, max_fsize=12, ftype='sans-serif', padding_x=0, padding_y=0)

build_blocks()

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

get_seq(start, end)

Retrieves sequence given start, end

class ArrowFace(width, height, orientation='right', color='gray', stroke_color='gray', stroke_width='1.5px', tooltip=None, text=None, fgcolor='black', min_fsize=6, max_fsize=15, ftype='sans-serif', name='', padding_x=0, padding_y=0)

__init__(width, height, orientation='right', color='gray', stroke_color='gray', stroke_width='1.5px', tooltip=None, text=None, fgcolor='black', min_fsize=6, max_fsize=15, ftype='sans-serif', name='', padding_x=0, padding_y=0)

draw(drawer)

property orientation

class AttrFace(attr, formatter=None, name=None, color='black', min_fsize=6, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0)

__init__(attr, formatter=None, name=None, color='black', min_fsize=6, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0)

get_content()

class CircleFace(radius, color, name='', tooltip=None, padding_x=0, padding_y=0)

__init__(radius, color, name='', tooltip=None, padding_x=0, padding_y=0)

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

class Face(name='', padding_x=0, padding_y=0)

Base class for faces.

Ete uses “faces” to show some piece of information from a node in a tree (as text or graphics of many kinds).

__init__(name='', padding_x=0, padding_y=0)

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

compute_fsize(dx, dy, zx, zy, max_fsize=None)

fits()

Return True if Face fits in computed box. Method overriden by inheriting classes.

get_box()

get_content()

in_aligned_viewport(segment)

class HTMLFace(html, width, height, name='', padding_x=0, padding_y=0)

__init__(html, width, height, name='', padding_x=0, padding_y=0)

draw(drawer)

class ImgFace(img_path, width, height, name='', padding_x=0, padding_y=0)

__init__(img_path, width, height, name='', padding_x=0, padding_y=0)

draw(drawer)

class LegendFace(colormap, title, min_fsize=6, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0)

__init__(colormap, title, min_fsize=6, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0)

draw(drawer)

class OutlineFace(stroke_color=None, stroke_width=None, color=None, opacity=0.3, collapsing_height=5, padding_x=0, padding_y=0)

__init__(stroke_color=None, stroke_width=None, color=None, opacity=0.3, collapsing_height=5, padding_x=0, padding_y=0)

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

fits()

Return True if Face fits in computed box. Method overriden by inheriting classes.

get_box()

class PieChartFace(radius, data, name='', padding_x=0, padding_y=0, tooltip=None)

__init__(radius, data, name='', padding_x=0, padding_y=0, tooltip=None)

compute_pie(data)

draw(drawer)

class RectFace(width, height, color='gray', opacity=0.7, text=None, fgcolor='black', min_fsize=6, max_fsize=15, ftype='sans-serif', tooltip=None, name='', padding_x=0, padding_y=0, stroke_color=None, stroke_width=0)

__init__(width, height, color='gray', opacity=0.7, text=None, fgcolor='black', min_fsize=6, max_fsize=15, ftype='sans-serif', tooltip=None, name='', padding_x=0, padding_y=0, stroke_color=None, stroke_width=0)

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

class ScaleFace(name='', width=None, color='black', scale_range=(0, 0), tick_width=80, line_width=1, formatter='%.0f', min_fsize=6, max_fsize=12, ftype='sans-serif', padding_x=0, padding_y=0)

__init__(name='', width=None, color='black', scale_range=(0, 0), tick_width=80, line_width=1, formatter='%.0f', min_fsize=6, max_fsize=12, ftype='sans-serif', padding_x=0, padding_y=0)

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

class SelectedCircleFace(name, radius=15, padding_x=0, padding_y=0)

__init__(name, radius=15, padding_x=0, padding_y=0)

class SelectedFace(name)

__init__(name)

class SelectedRectFace(name, width=15, height=15, text=None, padding_x=1, padding_y=0)

__init__(name, width=15, height=15, text=None, padding_x=1, padding_y=0)

class SeqFace(seq, seqtype='aa', poswidth=15, draw_text=True, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0)

__init__(seq, seqtype='aa', poswidth=15, draw_text=True, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0)

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

class SeqMotifFace(seq=None, motifs=None, seqtype='aa', gap_format='line', seq_format='[]', width=None, height=None, fgcolor='black', bgcolor='#bcc3d0', gapcolor='gray', gap_linewidth=0.2, max_fsize=12, ftype='sans-serif', padding_x=0, padding_y=0)

__init__(seq=None, motifs=None, seqtype='aa', gap_format='line', seq_format='[]', width=None, height=None, fgcolor='black', bgcolor='#bcc3d0', gapcolor='gray', gap_linewidth=0.2, max_fsize=12, ftype='sans-serif', padding_x=0, padding_y=0)

build_regions()

Build and sort sequence regions: seq representation and motifs

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

fits()

Return True if Face fits in computed box. Method overriden by inheriting classes.

class StackedBarFace(width, height, data=None, name='', opacity=0.7, min_fsize=6, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0, tooltip=None)

Face to show a series of stacked bars.

__init__(width, height, data=None, name='', opacity=0.7, min_fsize=6, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0, tooltip=None)

Initialize the face.

Parameters:

data – List of tuples, like [(whatever, value, color), …].

draw(drawer)

class TextFace(text, name='', color='black', min_fsize=6, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0, width=None, rotation=None)

__init__(text, name='', color='black', min_fsize=6, max_fsize=15, ftype='sans-serif', padding_x=0, padding_y=0, width=None, rotation=None)

compute_bounding_box(drawer, point, size, dx_to_closest_child, bdx, bdy, bdy0, bdy1, pos, row, n_row, n_col, dx_before, dy_before)

draw(drawer)

fits()

Return True if Face fits in computed box. Method overriden by inheriting classes.

Face positions

class AlignedGrid(facecontainer=None)

Grid that also allows to store the horizontal size of each column (dxs).

The idea is to use it for headers and footers in the aligned panel.

__init__(*args, **kwargs)

class Grid

Grid (dict that for each column assigns a list of items).

The idea is to use it with faces, like this:

d[col] == [face1, face2, …] # faces stacked in the column col

add_face(self, face, int column=0)

Add the given face to the specified column.

make_faces()

Return a named tuple that for each position can store a grid of faces.

NodeStyle

class NodeStyle(*args, **kargs)

Dictionary with all valid node graphical attributes.

__init__(*args, **kargs)

Parameters:

• fgcolor (#0030c1) – RGB code or name in SVG_COLORS

• bgcolor (#FFFFFF) – RGB code or name in SVG_COLORS

• node_bgcolor (#FFFFFF) – RGB code or name in SVG_COLORS

• partition_bgcolor (#FFFFFF) – RGB code or name in SVG_COLORS

• faces_bgcolor (#FFFFFF) – RGB code or name in SVG_COLORS

• vt_line_color (#000000) – RGB code or name in SVG_COLORS

• hz_line_color (#000000) – RGB code or name in SVG_COLORS

• hz_line_type (0) – integer number

• vt_line_type (0) – integer number

• size (3) – integer number

• shape ("circle") – “circle”, “square” or “sphere”

• draw_descendants (True) – Mark an internal node as a leaf.

• hz_line_width (0) – integer number representing the width of the line in pixels. A line width of zero indicates a cosmetic pen. This means that the pen width is always drawn one pixel wide, independent of the transformation set on the painter.

• vt_line_width (0) – integer number representing the width of the line in pixels. A line width of zero indicates a cosmetic pen. This means that the pen width is always drawn one pixel wide, independent of the transformation set on the painter.

init()

TreeLayout

class TreeLayout(name, ts=None, ns=None, aligned_faces=False, active=True, legend=True)

__init__(name, ts=None, ns=None, aligned_faces=False, active=True, legend=True)

set_node_style(node)

set_tree_style(tree, style)

cased_name(txt)

TreeStyle

class TreeStyle

__init__()

property active_face

property active_face_pos

add_legend(title, variable='discrete', colormap={}, value_range=None, color_range=None)

property aligned_panel_footer

property aligned_panel_header

get_legend()

property selected_face

property selected_face_pos

Layouts

context

class LayoutGenomicContext(name='Genomic context', nside=2, conservation_threshold=0, width=70, height=15, collapse_size=1, gene_name='name', tooltip_props=[], stroke_color='gray', stroke_width='1.5px', anchor_stroke_color='black', anchor_stroke_width='3px', non_conserved_color='#d0d0d0', collapse_conservation=0.2, collapse_by_conservation=True)

__init__(name='Genomic context', nside=2, conservation_threshold=0, width=70, height=15, collapse_size=1, gene_name='name', tooltip_props=[], stroke_color='gray', stroke_width='1.5px', anchor_stroke_color='black', anchor_stroke_width='3px', non_conserved_color='#d0d0d0', collapse_conservation=0.2, collapse_by_conservation=True)

get_context(node)

get_tooltip(gene)

set_node_style(node)

set_tree_style(tree, style)

default

class LayoutBranchLength(name='Branch length', pos='branch_top', formatter='%0.5s', color='#8d8d8d', ftype='sans-serif', min_fsize=6, max_fsize=15, padding_x=2, padding_y=0)

__init__(name='Branch length', pos='branch_top', formatter='%0.5s', color='#8d8d8d', ftype='sans-serif', min_fsize=6, max_fsize=15, padding_x=2, padding_y=0)

class LayoutBranchSupport(name='Branch support', pos='branch_bottom', formatter='%0.4s', color='#fa8072', ftype='sans-serif', min_fsize=6, max_fsize=15, padding_x=2, padding_y=0)

__init__(name='Branch support', pos='branch_bottom', formatter='%0.4s', color='#fa8072', ftype='sans-serif', min_fsize=6, max_fsize=15, padding_x=2, padding_y=0)

class LayoutLeafName(name='Leaf name', pos='branch_right', color='black', ftype='sans-serif', min_fsize=4, max_fsize=15, padding_x=5, padding_y=0)

__init__(name='Leaf name', pos='branch_right', color='black', ftype='sans-serif', min_fsize=4, max_fsize=15, padding_x=5, padding_y=0)

set_node_style(node)

class LayoutNumberLeaves(name='Number of leaves', pos='branch_right', collapsed_only=True, formatter='(%s)', color='black', min_fsize=4, max_fsize=15, ftype='sans-serif', padding_x=5, padding_y=0)

__init__(name='Number of leaves', pos='branch_right', collapsed_only=True, formatter='(%s)', color='black', min_fsize=4, max_fsize=15, ftype='sans-serif', padding_x=5, padding_y=0)

set_node_style(node)

class LayoutOutline(name=None, stroke_color='black', stroke_width=0.5, color='lightgray', opacity=0.3, collapsing_height=5)

__init__(name=None, stroke_color='black', stroke_width=0.5, color='lightgray', opacity=0.3, collapsing_height=5)

set_node_style(node)

domain

class LayoutPfamDomains(prop='pfam', name='Pfam domains', colormap={'#Pfam': '#bf5c3f', '1-cysPrx_C': '#55bf3f', '120_Rick_ant': '#3fb6bf', '12TM_1': '#bf3f60', '14-3-3': '#97bf3f', '17kDa_Anti_2': '#67bf3f', '2-Hacid_dh': '#afbf3f', '2-Hacid_dh_C': '#3fbf5c', '2-oxoacid_dh': '#7bbf3f', '2-oxogl_dehyd_N': '#bfad3f', '2-ph_phosp': '#46bf3f', '2-thiour_desulf': '#6f3fbf', '23ISL': '#3fb8bf', '23S_rRNA_IVP': '#3fbf98', '2CSK_N': '#3f99bf', '2C_adapt': '#3fbfa4', '2EXR': '#3fbf4b', '2Fe-2S_Ferredox': '#bf3fa9', '2Fe-2S_thioredx': '#3fafbf', '2H-phosphodiest': '#3fbfb2', '2HCT': '#bebf3f', '2OG-FeII_Oxy': '#bf703f', '2OG-FeII_Oxy_2': '#3fbf8a', '2OG-FeII_Oxy_3': '#3fbcbf', '2OG-FeII_Oxy_4': '#bf633f', '2OG-FeII_Oxy_5': '#3f88bf', '2OG-FeII_Oxy_6': '#3f64bf', '2OG-Fe_Oxy_2': '#a83fbf', '2TM': '#883fbf', '2_5_RNA_ligase2': '#973fbf', '3-HAO': '#bf493f', '3-PAP': '#3fbf82', '3-alpha': '#bf693f', '3-dmu-9_3-mt': '#aebf3f', '3Beta_HSD': '#bf3f9d', '3D': '#bf3f58', '3H': '#3f74bf', '3HBOH': '#5ebf3f', '3HCDH': '#3fbf89', '3HCDH_N': '#893fbf', '3HCDH_RFF': '#bfb43f', '3keto-disac_hyd': '#3fbf75', '40S_S4_C': '#bfab3f', '40S_SA_C': '#bf3f49', '4F5': '#52bf3f', '4HB': '#3fa8bf', '4HBT': '#3f76bf', '4HBT_2': '#bebf3f', '4HBT_3': '#3fafbf', '4HB_MCP_1': '#3fb0bf', '4HFCP_synth': '#3fa5bf', '4HPAD_g_N': '#3fb8bf', '4PPT_N': '#bf433f', '4_1_CTD': '#3fbf42', '5-FTHF_cyc-lig': '#bf793f', '5-nucleotidase': '#3f77bf', '53-BP1_Tudor': '#bf3f96', '5HT_transport_N': '#59bf3f', '5TM-5TMR_LYT': '#bf3f5d', '5_3_exonuc': '#3fbf73', '5_3_exonuc_N': '#a53fbf', '5_nucleotid': '#bf913f', '5_nucleotid_C': '#3f8dbf', '60KD_IMP': '#3fbfb3', '6PF2K': '#bfb03f', '6PGD': '#3f50bf', '7TM-7TMR_HD': '#a4bf3f', '7TMR-DISMED2': '#3f8ebf', '7TMR-DISM_7TM': '#3fbf5c', '7TMR-HDED': '#b13fbf', '7TM_GPCR_Sra': '#bf823f', '7TM_GPCR_Srab': '#3fbfad', '7TM_GPCR_Srb': '#aabf3f', '7TM_GPCR_Srbc': '#bfa73f', '7TM_GPCR_Srd': '#bf563f', '7TM_GPCR_Srh': '#3fbfa4', '7TM_GPCR_Sri': '#8b3fbf', '7TM_GPCR_Srj': '#3fbf65', '7TM_GPCR_Srsx': '#3fb8bf', '7TM_GPCR_Srt': '#3f5fbf', '7TM_GPCR_Sru': '#9a3fbf', '7TM_GPCR_Srv': '#5e3fbf', '7TM_GPCR_Srw': '#bf8b3f', '7TM_GPCR_Srx': '#3fbcbf', '7TM_GPCR_Srz': '#78bf3f', '7TM_GPCR_Str': '#bf7c3f', '7TM_transglut': '#3fa1bf', '7kD_DNA_binding': '#3fbf42', '7tm_1': '#3fbf4e', '7tm_2': '#4c3fbf', '7tm_3': '#bf3f83', '7tm_4': '#3f81bf', '7tm_6': '#3fbf8d', '7tm_7': '#bf3f5d', '8TM_micro': '#3f96bf', 'A-2_8-polyST': '#3fa8bf', 'A1_Propeptide': '#3fbf47', 'A2L_zn_ribbon': '#bfa83f', 'A2M': '#bf3fb1', 'A2M_BRD': '#58bf3f', 'A2M_recep': '#bf3fa3', 'AA9': '#b8bf3f', 'AAA': '#a23fbf', 'AAA-ATPase_like': '#bf7d3f', 'AAA_10': '#3fbf90', 'AAA_11': '#3f81bf', 'AAA_12': '#bfb03f', 'AAA_13': '#bf3f99', 'AAA_14': '#3f79bf', 'AAA_15': '#bf3f68', 'AAA_16': '#bf3fb3', 'AAA_17': '#3fbfaf', 'AAA_18': '#3fbfa9', 'AAA_19': '#3fbfb0', 'AAA_2': '#bfaa3f', 'AAA_21': '#bfad3f', 'AAA_22': '#bf3f82', 'AAA_23': '#3fbf7b', 'AAA_24': '#83bf3f', 'AAA_25': '#50bf3f', 'AAA_26': '#443fbf', 'AAA_27': '#6dbf3f', 'AAA_28': '#bf3fb3', 'AAA_29': '#3f90bf', 'AAA_3': '#bf3f41', 'AAA_30': '#bfb43f', 'AAA_31': '#833fbf', 'AAA_32': '#bf913f', 'AAA_33': '#bdbf3f', 'AAA_34': '#6dbf3f', 'AAA_35': '#b8bf3f', 'AAA_5': '#a0bf3f', 'AAA_6': '#3fbfa0', 'AAA_7': '#7ebf3f', 'AAA_8': '#773fbf', 'AAA_9': '#723fbf', 'AAA_PrkA': '#3fadbf', 'AAA_assoc': '#bf9f3f', 'AAA_assoc_2': '#b83fbf', 'AAA_assoc_C': '#3fa2bf', 'AAA_lid_1': '#bf3f74', 'AAA_lid_10': '#3fbf64', 'AAA_lid_11': '#bfa73f', 'AAA_lid_2': '#3fbf7f', 'AAA_lid_3': '#bf3f77', 'AAA_lid_4': '#a0bf3f', 'AAA_lid_5': '#3fbfb8', 'AAA_lid_6': '#3f74bf', 'AAA_lid_7': '#bf3f54', 'AAA_lid_8': '#bf3f7c', 'AAA_lid_9': '#7d3fbf', 'AAL_decarboxy': '#bf3f71', 'AAR2': '#bf483f', 'AARP2CN': '#42bf3f', 'AAT': '#3fbf81', 'AATF-Che1': '#3f70bf', 'AATase': '#bf943f', 'AA_kinase': '#78bf3f', 'AA_permease': '#bf3f85', 'AA_permease_2': '#bf3f66', 'AA_permease_C': '#bfab3f', 'AA_permease_N': '#3f65bf', 'AA_synth': '#7b3fbf', 'ABA4-like': '#3fbf5b', 'ABATE': '#3fbf61', 'ABA_GPCR': '#bf823f', 'ABA_WDS': '#3fadbf', 'ABC-3': '#3fbf48', 'ABC1': '#bf3fae', 'ABC2_membrane': '#afbf3f', 'ABC2_membrane_2': '#3f67bf', 'ABC2_membrane_3': '#bebf3f', 'ABC2_membrane_4': '#783fbf', 'ABC2_membrane_5': '#46bf3f', 'ABC2_membrane_6': '#bf7d3f', 'ABC2_membrane_7': '#7dbf3f', 'ABC_ATPase': '#bf9a3f', 'ABC_N': '#3f9cbf', 'ABC_cobalt': '#b73fbf', 'ABC_export': '#3f68bf', 'ABC_membrane': '#8b3fbf', 'ABC_membrane_2': '#3f9bbf', 'ABC_membrane_3': '#3fbf4a', 'ABC_sub_bind': '#bf3f85', 'ABC_toxin_N': '#5bbf3f', 'ABC_tran': '#bfb33f', 'ABC_tran_2': '#b53fbf', 'ABC_tran_CTD': '#a1bf3f', 'ABC_tran_Xtn': '#bfb03f', 'ABC_trans_CmpB': '#92bf3f', 'ABC_trans_N': '#bfa13f', 'ABC_trans_aux': '#bf3fbf', 'ABC_transp_aux': '#3fa4bf', 'ABG_transport': '#643fbf', 'ABHD18': '#3f9cbf', 'ABM': '#3fadbf', 'ACAS_N': '#bf3f91', 'ACBP': '#bf483f', 'ACCA': '#90bf3f', 'ACC_central': '#3f43bf', 'ACC_epsilon': '#a0bf3f', 'ACD': '#663fbf', 'ACDC': '#af3fbf', 'ACDH_C': '#bf3fa8', 'ACI44': '#5d3fbf', 'ACOX': '#3fbf5b', 'ACP': '#923fbf', 'ACP53EA': '#673fbf', 'ACPS': '#3f99bf', 'ACP_PD': '#bf993f', 'ACP_syn_III': '#bf763f', 'ACP_syn_III_C': '#3fbf8a', 'ACR_tran': '#bf423f', 'ACS_CODH_B_C': '#70bf3f', 'ACT': '#3f81bf', 'ACTH_domain': '#923fbf', 'ACTL7A_N': '#3f9ebf', 'ACT_3': '#9b3fbf', 'ACT_4': '#6a3fbf', 'ACT_5': '#bf3f8b', 'ACT_6': '#3fbfa7', 'ACT_7': '#3fbf56', 'ACT_8': '#3fbebf', 'AC_1': '#bf3fb0', 'AC_N': '#923fbf', 'AChE_tetra': '#3fa4bf', 'AD': '#bf3f62', 'ADAM17_MPD': '#3fbf7b', 'ADAMTS_CR_2': '#90bf3f', 'ADAMTS_CR_3': '#3fbebf', 'ADAMTS_spacer1': '#60bf3f', 'ADAM_CR': '#bf3f69', 'ADC': '#bf3f6e', 'ADD_ATRX': '#bf3f97', 'ADD_DNMT3': '#3fbcbf', 'ADH_N': '#6c3fbf', 'ADH_N_2': '#bf6e3f', 'ADH_N_assoc': '#743fbf', 'ADH_zinc_N': '#3f4bbf', 'ADH_zinc_N_2': '#6fbf3f', 'ADI': '#3f96bf', 'ADIP': '#9e3fbf', 'ADK': '#3fbfaa', 'ADK_lid': '#6c3fbf', 'ADNP_N': '#5e3fbf', 'ADPRTs_Tse2': '#53bf3f', 'ADP_PFK_GK': '#3fbf4e', 'ADP_ribosyl_GH': '#bfbc3f', 'ADPrib_exo_Tox': '#3f85bf', 'ADSL_C': '#bf4f3f', 'ADYC': '#b53fbf', 'AEP1': '#953fbf', 'AF-4': '#3faabf', 'AF-4_C': '#bf943f', 'AF0941-like': '#59bf3f', 'AF2212-like': '#3fbfb8', 'AF2331-like': '#3fbf58', 'AF4_int': '#bf3f8f', 'AFG1_ATPase': '#bf7f3f', 'AFOR_C': '#bf683f', 'AFOR_N': '#6dbf3f', 'AFP': '#3fbf87', 'AFP_2': '#3fbf7c', 'AFT': '#3fbf92', 'AGA2': '#47bf3f', 'AGH': '#bf3f97', 'AGK_C': '#3fa2bf', 'AGL_N': '#3fbf51', 'AGOG': '#3fafbf', 'AGO_N': '#3fbf73', 'AGP': '#97bf3f', 'AGRB_N': '#3f5fbf', 'AGS_C': '#a3bf3f', 'AGT': '#bf523f', 'AGTRAP': '#bf3f62', 'AHD': '#3fbfaa', 'AHH': '#bf453f', 'AHJR-like': '#72bf3f', 'AHL_synthase': '#3fbfbe', 'AHSA1': '#3fb0bf', 'AHSP': '#3f67bf', 'AI-2E_transport': '#a7bf3f', 'AIB': '#bf3fa5', 'AICARFT_IMPCHas': '#3f57bf', 'AID': '#3fbf81', 'AIDA': '#4abf3f', 'AIF-MLS': '#3f68bf', 'AIF_C': '#3fbf8d', 'AIG1': '#3fa7bf', 'AIG2_2': '#bf3fa8', 'AIM24': '#bebf3f', 'AIM3': '#523fbf', 'AIM5': '#7e3fbf', 'AIMP2_LysRS_bd': '#643fbf', 'AIP3': '#bf3f7a', 'AIPR': '#3f8dbf', 'AIRC': '#76bf3f', 'AIRS': '#bf653f', 'AIRS_C': '#bf3f41', 'AJAP1_PANP_C': '#70bf3f', 'AKAP28': '#803fbf', 'AKAP2_C': '#a33fbf', 'AKAP7_NLS': '#bf3fbc', 'AKAP7_RIRII_bdg': '#70bf3f', 'AKAP95': '#4a3fbf', 'AKAP_110': '#3fbfba', 'AKNA': '#9dbf3f', 'ALAD': '#753fbf', 'ALF': '#bfbb3f', 'ALG11_N': '#bf653f', 'ALG3': '#bf3fb0', 'ALGX': '#bf963f', 'ALIX_LYPXL_bnd': '#80bf3f', 'ALKBH8_N': '#7bbf3f', 'ALMS_motif': '#543fbf', 'ALMS_repeat': '#b13fbf', 'ALMT': '#bf563f', 'ALO': '#a9bf3f', 'ALOG_dom': '#3fbfa7', 'ALP_N': '#bf7f3f', 'ALS2CR11': '#3fafbf', 'ALS2CR8': '#4a3fbf', 'ALS_ss_C': '#8cbf3f', 'ALTTAQ_rpt': '#a93fbf', 'AMA-1': '#bf4e3f', 'AMH_N': '#bf3fbd', 'AMIN': '#ba3fbf', 'AMMECR1': '#bfbe3f', 'AMNp_N': '#bf3f99', 'AMO': '#413fbf', 'AMOP': '#bf9f3f', 'AMP-binding': '#3fbf70', 'AMP-binding_C': '#bf7d3f', 'AMP-binding_C_2': '#bf703f', 'AMPK1_CBM': '#8dbf3f', 'AMPKBI': '#3fbfac', 'AMP_N': '#3fbf70', 'AMP_deaminase': '#b1bf3f', 'AMT4_dom_C': '#b73fbf', 'ANAPC1': '#3fa1bf', 'ANAPC10': '#bf3fb6', 'ANAPC15': '#3f99bf', 'ANAPC16': '#9e3fbf', 'ANAPC2': '#bf3f6c', 'ANAPC3': '#babf3f', 'ANAPC4': '#49bf3f', 'ANAPC4_WD40': '#bf3f91', 'ANAPC5': '#5ebf3f', 'ANAPC8': '#3f54bf', 'ANAPC9': '#783fbf', 'ANAPC_CDC26': '#3fbfbb', 'ANATO': '#3fbfb6', 'ANF_receptor': '#bfa53f', 'ANGEL2_N': '#76bf3f', 'ANIS5_cation-bd': '#bf3f94', 'ANKH': '#3fbf7e', 'ANP': '#98bf3f', 'ANT': '#60bf3f', 'ANTAR': '#bf3f8f', 'ANTH': '#b2bf3f', 'ANXA2R': '#4d3fbf', 'AOC_like': '#3f5dbf', 'AOX': '#bf3fb3', 'AP-5_subunit_s1': '#a3bf3f', 'AP1AR': '#3f45bf', 'AP2': '#3f9ebf', 'AP3B1_C': '#3f50bf', 'AP3D1': '#64bf3f', 'AP4E_app_platf': '#bf6d3f', 'APAF1_C': '#babf3f', 'APC1_C': '#5a3fbf', 'APCDDC': '#3f88bf', 'APC_15aa': '#bf663f', 'APC_N_CC': '#863fbf', 'APC_basic': '#49bf3f', 'APC_r': '#bf603f', 'APC_rep': '#3f9ebf', 'APC_u13': '#bf7a3f', 'APC_u14': '#6e3fbf', 'APC_u15': '#73bf3f', 'APC_u5': '#783fbf', 'APC_u9': '#613fbf', 'APEH_N': '#3fbf68', 'APG12': '#3fbbbf', 'APG5': '#3f4abf', 'APG6': '#3fadbf', 'APG6_N': '#bfae3f', 'APH': '#3f68bf', 'APH_6_hur': '#673fbf', 'API5': '#b7bf3f', 'APOBEC1': '#3f42bf', 'APOBEC2': '#4a3fbf', 'APOBEC3': '#3fbf75', 'APOBEC4': '#3fbf81', 'APOBEC4_like': '#bf3fba', 'APOBEC_C': '#3fbf5f', 'APOBEC_N': '#b8bf3f', 'APOC4': '#3f9ebf', 'APO_RNA-bind': '#3fbf87', 'APP1_cat': '#3f50bf', 'APP_Cu_bd': '#bc3fbf', 'APP_E2': '#bf3f44', 'APP_N': '#3fbf75', 'APP_amyloid': '#3fb5bf', 'APS-reductase_C': '#5d3fbf', 'APS_kinase': '#56bf3f', 'APT': '#3f50bf', 'AP_endonuc_2': '#bf3f4c', 'ARA70': '#bf6d3f', 'ARC6-like_IMS': '#3faabf', 'ARD': '#63bf3f', 'ARF7EP_C': '#b43fbf', 'ARGLU': '#3fbf53', 'ARHGEF5_35': '#3f4dbf', 'ARID': '#bf3f9d', 'ARL17': '#afbf3f', 'ARL2_Bind_BART': '#bf773f', 'ARL6IP6': '#4f3fbf', 'ARMET_C': '#60bf3f', 'ARMET_N': '#913fbf', 'ARMH2': '#bf5c3f', 'ARMH3_C': '#bf3f49', 'ARMH4': '#3fa2bf', 'ARMT1-like_dom': '#923fbf', 'AROS': '#3f88bf', 'ARPC4': '#3fbfa3', 'ARS2': '#bf4c3f', 'ART': '#7ebf3f', 'ART-PolyVal': '#64bf3f', 'ARTD15_N': '#3f8ebf', 'ASC': '#3f6abf', 'ASCH': '#92bf3f', 'ASD1': '#bf3f79', 'ASD2': '#bf853f', 'ASF1_hist_chap': '#3f79bf', 'ASFV_J13L': '#3f57bf', 'ASH': '#bf3f9c', 'ASK_PH': '#3f96bf', 'ASL_C': '#3fbfb0', 'ASL_C2': '#bf3f89', 'ASMase_C': '#bfa13f', 'ASPRs': '#5a3fbf', 'ASRT': '#3f9cbf', 'ASTER': '#3fbf8d', 'ASTN1_2_EGF_Fn': '#3f40bf', 'ASTN_1_2_N': '#92bf3f', 'ASTN_2_hairpin': '#3fbf76', 'ASXH': '#3fbf55', 'ASY3-like': '#3fbfa0', 'ATAD3_N': '#4dbf3f', 'ATAD4': '#713fbf', 'ATC_hydrolase': '#3fbf6d', 'ATE_C': '#83bf3f', 'ATE_N': '#5d3fbf', 'ATF7IP_BD': '#bfbb3f', 'ATG101': '#86bf3f', 'ATG11': '#bf7c3f', 'ATG13': '#bf623f', 'ATG14': '#bf6b3f', 'ATG16': '#bf933f', 'ATG17_like': '#bf4f3f', 'ATG19': '#3fbf56', 'ATG22': '#3fbf4d', 'ATG27': '#bf3f85', 'ATG29_N': '#bf3fa6', 'ATG2_CAD': '#5a3fbf', 'ATG31': '#bf4b3f', 'ATG43': '#bf3f57', 'ATG4_LIR': '#bf3f79', 'ATG7_N': '#3fbf70', 'ATG8': '#bf3fa9', 'ATG9': '#bf3f7f', 'ATG_C': '#3fbf6a', 'ATHILA': '#3fbf5c', 'ATLF': '#3fbf8c', 'ATP-cone': '#3f4dbf', 'ATP-grasp': '#7dbf3f', 'ATP-grasp_2': '#b23fbf', 'ATP-grasp_3': '#433fbf', 'ATP-grasp_4': '#55bf3f', 'ATP-grasp_5': '#3f7ebf', 'ATP-grasp_6': '#893fbf', 'ATP-gua_Ptrans': '#3fbf68', 'ATP-gua_PtransN': '#b2bf3f', 'ATP-sulfurylase': '#3f8abf', 'ATP-synt': '#bf3f4f', 'ATP-synt_10': '#3fbf76', 'ATP-synt_8': '#3f4bbf', 'ATP-synt_A': '#55bf3f', 'ATP-synt_B': '#3f9fbf', 'ATP-synt_C': '#3fbfba', 'ATP-synt_D': '#b8bf3f', 'ATP-synt_DE': '#bf3f57', 'ATP-synt_DE_N': '#bf703f', 'ATP-synt_E': '#3f93bf', 'ATP-synt_E_2': '#3fbfbb', 'ATP-synt_Eps': '#bf3f6c', 'ATP-synt_F': '#3fbf45', 'ATP-synt_F6': '#913fbf', 'ATP-synt_G': '#843fbf', 'ATP-synt_I': '#3fbfb5', 'ATP-synt_J': '#3fbf99', 'ATP-synt_Z': '#69bf3f', 'ATP-synt_ab': '#a7bf3f', 'ATP-synt_ab_C': '#6c3fbf', 'ATP-synt_ab_N': '#7bbf3f', 'ATP-synt_ab_Xtn': '#60bf3f', 'ATP11': '#bf3f58', 'ATP12': '#bf3f8b', 'ATP13': '#3f7bbf', 'ATP19': '#8dbf3f', 'ATP1G1_PLM_MAT8': '#3f8bbf', 'ATP_Ca_trans_C': '#bf3f4c', 'ATP_bind_1': '#783fbf', 'ATP_bind_2': '#3f4abf', 'ATP_bind_3': '#3f6abf', 'ATP_sub_h': '#923fbf', 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'cIII': '#3f98bf', 'cNMP_binding': '#6cbf3f', 'cNMPbd_u2': '#3f82bf', 'cPLA2_C2': '#bf3f60', 'cREC_REC': '#73bf3f', 'cobW': '#3fbf62', 'cpYpsA': '#7dbf3f', 'cwf18': '#3f91bf', 'cwf21': '#bf3f44', 'dATP-dGTP_PPHyd': '#bf3fa5', 'dCMP_cyt_deam_1': '#3f9cbf', 'dCMP_cyt_deam_2': '#3f47bf', 'dCache_1': '#9abf3f', 'dCache_2': '#3f82bf', 'dCache_3': '#64bf3f', 'dDENN': '#3fbf89', 'dGTP_diPhyd_N': '#bf3f85', 'dNK': '#673fbf', 'dTDP_sugar_isom': '#3f62bf', 'dUTPase': '#3f98bf', 'dUTPase_2': '#3f85bf', 'dbPDZ_assoc': '#3fb2bf', 'ddrB-ParB': '#bf3f4e', 'divDNAB': '#7dbf3f', 'dsDNA_bind': '#bf3f7f', 'dsRBD2': '#3f81bf', 'dsrm': '#973fbf', 'eIF-1a': '#3fbf70', 'eIF-3_zeta': '#a53fbf', 'eIF-3c_N': '#bf3f41', 'eIF-4B': '#3facbf', 'eIF-5_eIF-2B': '#bf9a3f', 'eIF-5a': '#4fbf3f', 'eIF-6': '#a83fbf', 'eIF2A': '#a93fbf', 'eIF2_C': '#753fbf', 'eIF3_N': '#3fbf79', 'eIF3_p135': '#bfa43f', 'eIF3_subunit': '#bf7a3f', 'eIF3g': '#bf3f8c', 'eIF3h_C': '#bf633f', 'eIF3m_C_helix': '#953fbf', 'eIF_4EBP': '#bc3fbf', 'eIF_4G1': '#bf993f', 'eRF1_1': '#3fbf58', 'eRF1_2': '#7b3fbf', 'eRF1_3': '#bbbf3f', 'ecTbetaR2': '#843fbf', 'efThoc1': '#bfb03f', 'efb-c': '#3f43bf', 'fn1': '#bf7c3f', 'fn2': '#3f7ebf', 'fn3': '#bf3f85', 'fn3_2': '#3f99bf', 'fn3_3': '#55bf3f', 'fn3_4': '#3fbf90', 'fn3_5': '#3fbfac', 'fn3_6': '#59bf3f', 'fn3_PAP': '#7ebf3f', 'fvmJAB_N': '#3f7fbf', 'fvmRadSAM-pep': '#3f6bbf', 'fvmX1': '#bf7f3f', 'fvmX2': '#a23fbf', 'fvmX3': '#a03fbf', 'fvmX3-analog': '#bf3f63', 'fvmX5': '#bf3f52', 'fvmX6': '#bf3f69', 'fvmX7': '#bf6d3f', 'fvmYukDl_N': '#8fbf3f', 'gag-asp_proteas': '#bf3fae', 'gag_pre-integrs': '#3f71bf', 'gerPA': '#44bf3f', 'gp32': '#bf713f', 'gp37_C': '#bf3f57', 'gp45-slide_C': '#3fbf44', 'gpD': '#8abf3f', 'gpW': '#bf3fb1', 'hDGE_amylase': '#3fbfa3', 'hEGF': '#bf3f82', 'hGDE_N': '#a53fbf', 'hGDE_central': '#3fbf93', 'hNIFK_binding': '#bf573f', 'hSH3': '#bf3fb9', 'hSac2': '#6e3fbf', 'hemP': '#3fbf82', 'hnRNP_Q_AcD': '#3f40bf', 'iPGM_N': '#3fbfb5', 'iSTAND': '#bf3fad', 'ig': '#473fbf', 'ivWA': '#3fb5bf', 'ivWA-helical_N': '#bf9f3f', 'ketoacyl-synt': '#bf3f9a', 'kleA_kleC': '#3fbbbf', 'lci': '#bf3fa9', 'mCpol': '#3fbf85', 'mIF3': '#a3bf3f', 'mRNA_cap_C': '#bf7c3f', 'mRNA_cap_enzyme': '#60bf3f', 'mRNA_decap_C': '#bf3f54', 'mRNA_stabil': '#3fb2bf', 'mRNA_triPase': '#bf493f', 'mTERF': '#bf3f91', 'malic': '#bfa13f', 'mit_SMPDase': '#89bf3f', 'mono-CXXC': '#3f76bf', 'muHD': '#3fbfac', 'nec1': '#3fbfb5', 'nlz1': '#5a3fbf', 'nos_propeller': '#3fbf3f', 'nos_propeller_2': '#3f77bf', 'oligo_HPY': '#3fbf53', 'ox_reductase_C': '#3f6abf', 'p25-alpha': '#743fbf', 'p31comet': '#bf3fb0', 'p450': '#ab3fbf', 'p47_phox_C': '#3f43bf', 'p53-inducible11': '#bf4c3f', 'pATOM36': '#3f87bf', 'pAdhesive_10': '#bf883f', 'pAdhesive_11': '#3f51bf', 'pAdhesive_15': '#3f76bf', 'pAdhesive_17': '#3f53bf', 'pAdhesive_6': '#bf3f74', 'pAdhesive_8': '#bf3f86', 'pEK499_p136': '#3f74bf', 'pKID': '#bfb43f', 'pNTSase1': '#3fbfa0', 'pPIWI_RE_REase': '#3f62bf', 'pPIWI_RE_X': '#bf3f82', 'pPIWI_RE_Y': '#bf3f40', 'pPIWI_RE_Z': '#bf3fb6', 'pP_pnuc_1': '#3fbf42', 'pP_pnuc_2': '#83bf3f', 'pRN1_helical': '#923fbf', 'pXO2-34': '#3f4bbf', 'pXO2-72': '#bf513f', 'pYEATS': '#bf3f49', 'partial_CstF': '#7d3fbf', 'peroxidase': '#bf7a3f', 'phage_tail_N': '#3fbf9b', 'phiKZ_IP': '#bf3f49', 'polyprenyl_synt': '#3fbf98', 'potato_inhibit': '#613fbf', 'preATP-grasp_3': '#3fbfa9', 'preSET_CXC': '#bf3f86', 'prok_STING': '#3f51bf', 'protein_MS5': '#3f5dbf', 'ptaRNA1_toxin': '#bf3fa3', 'putAbiC': '#bf433f', 'rOmpB': '#3fbfa9', 'rRNA_methylase': '#3f45bf', 'rRNA_proc-arch': '#603fbf', 'rRNA_processing': '#7ebf3f', 'rhaM': '#94bf3f', 'ribosomal_L24': '#a1bf3f', 'rve': '#bf713f', 'rve_2': '#bdbf3f', 'rve_3': '#bf933f', 's48_45': '#b8bf3f', 'sCache_2': '#3fbfba', 'sCache_3_2': '#bf7d3f', 'sCache_3_3': '#3fbf96', 'sCache_4': '#72bf3f', 'sCache_like': '#ab3fbf', 'ssDBP': '#bf3f6e', 'ssDBP_DBD': '#bf9d3f', 'ssDNA-exonuc_C': '#803fbf', 'ssDNA_DBD': '#7ebf3f', 'ssDNA_TraI_N': '#523fbf', 'stn_TNFRSF12A': '#50bf3f', 'tPilZ': '#a9bf3f', 'tRNA-Thr_ED': '#bfbc3f', 'tRNA-synt_1': '#3f7bbf', 'tRNA-synt_1_2': '#bf3f65', 'tRNA-synt_1b': '#bf403f', 'tRNA-synt_1c': '#95bf3f', 'tRNA-synt_1c_C': '#bf3f6f', 'tRNA-synt_1d': '#433fbf', 'tRNA-synt_1e': '#713fbf', 'tRNA-synt_1f': '#bf3f46', 'tRNA-synt_1g': '#3f7fbf', 'tRNA-synt_2': '#463fbf', 'tRNA-synt_2_TM': '#bf3fa0', 'tRNA-synt_2b': '#bd3fbf', 'tRNA-synt_2c': '#bf3fa8', 'tRNA-synt_2d': '#3fbbbf', 'tRNA-synt_2e': '#3fbf61', 'tRNA-synt_His': '#3f8bbf', 'tRNA_Me_trans': '#863fbf', 'tRNA_Me_trans_C': '#3fbfb6', 'tRNA_Me_trans_M': '#bfb33f', 'tRNA_NucTran2_2': '#bf543f', 'tRNA_NucTransf2': '#3fbf9b', 'tRNA_SAD': '#3f7bbf', 'tRNA_U5-meth_tr': '#3f9ebf', 'tRNA_anti-codon': '#bf3fa5', 'tRNA_anti-like': '#3fafbf', 'tRNA_anti_2': '#bf3f69', 'tRNA_bind': '#463fbf', 'tRNA_bind_2': '#553fbf', 'tRNA_bind_3': '#713fbf', 'tRNA_bind_4': '#bebf3f', 'tRNA_deacylase': '#3fbf56', 'tRNA_edit': '#bf3fad', 'tRNA_int_end_N2': '#3f81bf', 'tRNA_int_endo': '#3fbfba', 'tRNA_int_endo_N': '#ae3fbf', 'tRNA_lig_CPD': '#bf3f4b', 'tRNA_lig_kinase': '#bfad3f', 'tRNA_m1G_MT': '#923fbf', 'tRNA_synt_1c_R1': '#bf3f48', 'tRNA_synt_1c_R2': '#bf3f48', 'tRNA_synt_2f': '#73bf3f', 'tRNA_synthFbeta': '#bfb43f', 'tify': '#bf873f', 'uDENN': '#3f87bf', 'ubiquitin': '#42bf3f', 'vATP-synt_AC39': '#bf3fb6', 'vATP-synt_E': '#753fbf', 'vMSA': '#bf3f60', 'vWA-TerF-like': '#3fbf4b', 'vWF_A': '#783fbf', 'wnt': '#bf433f', 'xRRM': '#3f81bf', 'ydhR': '#bf3f75', 'z-alpha': '#58bf3f', 'zf-3CxxC': '#843fbf', 'zf-3CxxC_2': '#3fbf5f', 'zf-4CXXC_R1': '#973fbf', 'zf-A20': '#a0bf3f', 'zf-ACC': '#3fbf45', 'zf-AD': '#bfb33f', 'zf-AN1': '#bf3f71', 'zf-ANAPC11': '#83bf3f', 'zf-BED': '#bf6b3f', 'zf-B_box': '#bf9f3f', 'zf-C2H2': '#3fbf62', 'zf-C2H2_10': '#3f8bbf', 'zf-C2H2_11': '#9a3fbf', 'zf-C2H2_12': '#bf523f', 'zf-C2H2_2': '#bf3f4b', 'zf-C2H2_3': '#aabf3f', 'zf-C2H2_3rep': '#bf463f', 'zf-C2H2_4': '#bf3f5d', 'zf-C2H2_6': '#bf703f', 'zf-C2H2_7': '#bf3f44', 'zf-C2H2_8': '#3fbf67', 'zf-C2H2_9': '#9a3fbf', 'zf-C2H2_aberr': '#783fbf', 'zf-C2H2_assoc': '#bf523f', 'zf-C2H2_assoc2': '#a83fbf', 'zf-C2H2_assoc3': '#bf3f5a', 'zf-C2H2_jaz': '#3fbfb0', 'zf-C2HC': '#bf3fb9', 'zf-C2HC5': '#bfb73f', 'zf-C2HCIx2C': '#bf3fa9', 'zf-C2HC_2': '#3f8ebf', 'zf-C2HE': '#613fbf', 'zf-C3H1': '#3fbf9b', 'zf-C3H2C3': '#3fbf44', 'zf-C3HC': '#5e3fbf', 'zf-C3HC4': '#56bf3f', 'zf-C3HC4_2': '#a7bf3f', 'zf-C3HC4_3': '#89bf3f', 'zf-C3HC4_4': '#3f5dbf', 'zf-C3HC4_5': '#3fb0bf', 'zf-C3Hc3H': '#bf3f58', 'zf-C4': '#663fbf', 'zf-C4H2': '#bf9a3f', 'zf-C4_ClpX': '#3f5fbf', 'zf-C4_Topoisom': '#3f76bf', 'zf-C4pol': '#7a3fbf', 'zf-C5HC2': '#bfb93f', 'zf-C6H2': '#3fbf7c', 'zf-CCCH': '#3fbf65', 'zf-CCCH_2': '#b73fbf', 'zf-CCCH_3': '#bf6e3f', 'zf-CCCH_4': '#bf3f6e', 'zf-CCCH_6': '#3f99bf', 'zf-CCCH_8': '#3fbf5f', 'zf-CCHC': '#bf3f72', 'zf-CCHC_2': '#bf973f', 'zf-CCHC_3': '#bf3f51', 'zf-CCHC_4': '#3fa8bf', 'zf-CCHC_5': '#bf713f', 'zf-CCHC_6': '#bf683f', 'zf-CCHH': '#3fbfa6', 'zf-CDGSH': '#3f42bf', 'zf-CGNR': '#713fbf', 'zf-CHC2': '#3fbf4d', 'zf-CHCC': '#3f87bf', 'zf-CHY': '#3f54bf', 'zf-CRD': '#bf763f', 'zf-CSL': '#3fbf8f', 'zf-CW': '#89bf3f', 'zf-CXXC': '#bf683f', 'zf-DBF': '#6abf3f', 'zf-DNA_Pol': '#63bf3f', 'zf-DNL': '#3f59bf', 'zf-Di19': '#3fa1bf', 'zf-Dof': '#3fbfa4', 'zf-FCS': '#babf3f', 'zf-FLZ': '#3f99bf', 'zf-FPG_IleRS': '#a33fbf', 'zf-GRF': '#bf3f57', 'zf-H2C2': '#3fbfb5', 'zf-H2C2_2': '#a93fbf', 'zf-H2C2_5': '#3f40bf', 'zf-H3C2': '#3fbfa3', 'zf-HC2': '#bf7f3f', 'zf-HC3': '#5a3fbf', 'zf-HC5HC2H': '#bf773f', 'zf-HC5HC2H_2': '#3fbf87', 'zf-HIT': '#3f68bf', 'zf-HYPF': '#3f79bf', 'zf-His_Me_endon': '#3f82bf', 'zf-IS66': '#3fbf48', 'zf-ISL3': '#bf833f', 'zf-LITAF-like': '#3fbf7f', 'zf-LSD1': '#bf663f', 'zf-LYAR': '#3fa1bf', 'zf-MIZ': '#3fbfa4', 'zf-MYND': '#bf3f4c', 'zf-MYST': '#bf3f68', 'zf-Mss51': '#bf3f75', 'zf-NADH-PPase': '#5d3fbf', 'zf-NF-X1': '#3f50bf', 'zf-NOSIP': '#3fa5bf', 'zf-NPL4': '#3f7fbf', 'zf-Nse': '#543fbf', 'zf-PARP': '#bf3f4f', 'zf-PHD-like': '#3f90bf', 'zf-RAG1': '#73bf3f', 'zf-RING-like': '#3f90bf', 'zf-RING_10': '#bf3fba', 'zf-RING_11': '#4abf3f', 'zf-RING_12': '#bf3fa3', 'zf-RING_14': '#3fb3bf', 'zf-RING_15': '#3f64bf', 'zf-RING_16': '#3f4abf', 'zf-RING_2': '#3f9ebf', 'zf-RING_4': '#3f57bf', 'zf-RING_5': '#bf3f6f', 'zf-RING_6': '#8c3fbf', 'zf-RING_7': '#bf833f', 'zf-RING_9': '#3f85bf', 'zf-RING_UBOX': '#7dbf3f', 'zf-RNPHF': '#86bf3f', 'zf-RRN7': '#3f59bf', 'zf-RRPl_C4': '#bf8b3f', 'zf-RVT': '#78bf3f', 'zf-RanBP': '#b1bf3f', 'zf-SAP30': '#bf3f6b', 'zf-SCNM1': '#3fbf90', 'zf-Sec23_Sec24': '#3f7bbf', 'zf-TAZ': '#3fb3bf', 'zf-TFIIB': '#bf3f96', 'zf-TFIIIC': '#3fbf58', 'zf-TRAF': '#89bf3f', 'zf-TRAF_2': '#3fbf55', 'zf-TRM13_CCCH': '#863fbf', 'zf-Tim10_DDP': '#53bf3f', 'zf-U1': '#bf3f96', 'zf-U11-48K': '#3f95bf', 'zf-UBP': '#3fbf5f', 'zf-UBP_var': '#3fbf76', 'zf-UBR': '#bf883f', 'zf-UDP': '#3f74bf', 'zf-WRNIP1_ubi': '#3f50bf', 'zf-XS': '#3fbf7f', 'zf-ZPR1': '#a63fbf', 'zf-dskA_traR': '#4f3fbf', 'zf-like': '#bfae3f', 'zf-met': '#3f85bf', 'zf-met2': '#bf3fa6', 'zf-nanos': '#bf6b3f', 'zf-piccolo': '#3f87bf', 'zf-primase': '#3fbf7c', 'zf-rbx1': '#3fbf50', 'zf-ribbon_3': '#3f99bf', 'zf-tcix': '#bf633f', 'zf-trcl': '#9abf3f', 'zf_C2H2_10': '#bf513f', 'zf_C2H2_13': '#bf3f48', 'zf_C2H2_6': '#6fbf3f', 'zf_C2H2_ZHX': '#bf3f58', 'zf_C2HC_14': '#3f51bf', 'zf_CCCH_4': '#3fb8bf', 'zf_CCCH_5': '#6e3fbf', 'zf_CopZ': '#bf3f9a', 'zf_Hakai': '#bf3f91', 'zf_PR_Knuckle': '#bf5f3f', 'zf_Rg': '#bf3fbc', 'zf_UBZ': '#3fbf5b', 'zf_ZIC': '#bf633f', 'zinc-ribbon_6': '#953fbf', 'zinc-ribbons_6': '#a4bf3f', 'zinc_ribbon_10': '#3fbf85', 'zinc_ribbon_11': '#56bf3f', 'zinc_ribbon_12': '#bf663f', 'zinc_ribbon_13': '#3fbf92', 'zinc_ribbon_15': '#7a3fbf', 'zinc_ribbon_16': '#bf943f', 'zinc_ribbon_2': '#a83fbf', 'zinc_ribbon_4': '#bf3f66', 'zinc_ribbon_5': '#9bbf3f', 'zinc_ribbon_6': '#bf3f79', 'zinc_ribbon_9': '#3f90bf', 'zn-ribbon_14': '#3f4dbf'}, column=20, *args, **kwargs)

class LayoutSmartDomains(prop='smart', name='Smart domains', colormap={'14_3_3': '#bf8b3f', '35EXOc': '#3f5ebf', '4.1m': '#bf943f', '53EXOc': '#3fbf5a', '6PGD': '#3fbf5a', '7TM_GPCR_Srsx': '#3fbf9a', 'A1pp': '#b1bf3f', 'A2M': '#3f6abf', 'A2M_N_2': '#3f60bf', 'A2M_recep': '#3f87bf', 'A4_EXTRA': '#89bf3f', 'AAA': '#533fbf', 'AAA_PrkA': '#bf533f', 'AAI': '#3f7abf', 'AARP2CN': '#3fbf96', 'ACR': '#76bf3f', 'ACTH_domain': '#bf443f', 'ACTIN': '#3fbfb3', 'AD': '#3fbfa2', 'ADEAMc': '#3f9abf', 'ADF': '#bf3f92', 'ADSL_C': '#733fbf', 'AFOR_N': '#3f75bf', 'AGTRAP': '#bf713f', 'AHS1': '#bf473f', 'AHS2': '#3f9bbf', 'AICARFT_IMPCHas': '#3f8cbf', 'AIF_C': '#bf3f62', 'AIP3': '#bf3fb8', 'AIRC': '#bf463f', 'AKAP_110': '#3fbf69', 'ALAD': '#9c3fbf', 'ALBUMIN': '#bf843f', 'AMA-1': '#3f95bf', 'AMOP': '#3fb8bf', 'AMPKBI': '#3fbf9c', 'AMP_N': '#623fbf', 'ANATO': '#b6bf3f', 'ANK': '#bdbf3f', 'ANTAR': '#b9bf3f', 'ANX': '#bf3fa9', 'AP2': '#3fbf4f', 'AP2Ec': '#3fbfbe', 'AP3B1_C': '#bf3f6b', 'AP4E_app_platf': '#3f58bf', 'APC10': '#3fbf96', 'APC2': '#ad3fbf', 'APCDDC': '#bf9a3f', 'APPLE': '#8d3fbf', 'ARF': '#993fbf', 'ARID': '#bfae3f', 'ARM': '#bfbd3f', 'ASCH': '#a6bf3f', 'AT_hook': '#97bf3f', 'AWS': '#bf443f', 'AXH': '#3fabbf', 'A_amylase_inhib': '#3fbfb6', 'Aamy': '#58bf3f', 'Aamy_C': '#bf833f', 'Ad_cyc_g-alpha': '#3fbf48', 'Adenylsucc_synt': '#3f4dbf', 'AdoHcyase': '#abbf3f', 'AdoHcyase_NAD': '#3fbf55', 'Aerolysin': '#3f46bf', 'Agenet': '#3fa4bf', 'Agglutinin': '#bb3fbf', 'Agouti': '#3fbebf', 'AgrB': '#bf3f4a', 'AgrD': '#3fbf7a', 'Agro_virD5': '#3fbf43', 'Aha1_N': '#3fbf7c', 'AlaDh_PNT_C': '#5fbf3f', 'AlaDh_PNT_N': '#b6bf3f', 'Ala_racemase_C': '#88bf3f', 'AlcB': '#bf8f3f', 'Ald_Xan_dh_C': '#bf3f7c', 'Aldolase_II': '#bf3fb3', 'AlkA_N': '#bf843f', 'Alpha-L-AF_C': '#bf503f', 'Alpha-amyl_C2': '#793fbf', 'Alpha-mann_mid': '#3f89bf', 'Alpha_L_fucos': '#a2bf3f', 'Alpha_adaptinC2': '#bf5a3f', 'Alpha_kinase': '#bf3f67', 'Amb_all': '#bf3f45', 'Amelin': '#bf633f', 'Amelogenin': '#3fbf9a', 'Ami_2': '#bf3f96', 'Ami_3': '#bf3f9b', 'Antimicrobial21': '#bf9e3f', 'AraC_E_bind': '#bf3f5f', 'Arch1': '#563fbf', 'Arch2': '#923fbf', 'ArfGap': '#bf4d3f', 'Arfaptin': '#3fa1bf', 'Arg_tRNA_synt_N': '#b6bf3f', 'Arrestin_C': '#43bf3f', 'Asparaginase': '#3fbfa7', 'Aspzincin_M35': '#513fbf', 'Autotransporter': '#3fbf60', 'B12-binding_2': '#bf3f98', 'B2-adapt-app_C': '#bf7d3f', 'B3': '#bf953f', 'B3_4': '#3fbf9d', 'B41': '#3f56bf', 'B5': '#7e3fbf', 'B561': '#62bf3f', 'BACK': '#6ebf3f', 'BAF': '#983fbf', 'BAG': '#3f77bf', 'BAH': '#3f61bf', 'BAR': '#3fbfa0', 'BASIC': '#a8bf3f', 'BATS': '#bf3f73', 'BBC': '#a63fbf', 'BBOX': '#b63fbf', 'BC10': '#bf3f93', 'BCL': '#bf473f', 'BCS1_N': '#b33fbf', 'BEN': '#bf3fb0', 'BH4': '#3fbfa5', 'BHD_1': '#7abf3f', 'BHD_2': '#77bf3f', 'BHD_3': '#3f81bf', 'BHL': '#41bf3f', 'BID_1': '#bf3f99', 'BID_2': '#3fbf90', 'BING4CT': '#3fbf6c', 'BIR': '#bf8f3f', 'BLUF': '#85bf3f', 'BLVR': '#85bf3f', 'BMC': '#77bf3f', 'BON': '#3fbfb3', 'BOP1NT': '#3fbf6c', 'BP28CT': '#bf4d3f', 'BPI1': '#3f97bf', 'BPI2': '#bf3f79', 'BRCT': '#3f44bf', 'BRICHOS': '#3fbf63', 'BRIGHT': '#bf673f', 'BRK': '#3fbfa8', 'BRLZ': '#3f46bf', 'BRO1': '#3fbfb1', 'BROMO': '#bfb83f', 'BSD': '#79bf3f', 'BTAD': '#3fbf68', 'BTB': '#bf7e3f', 'BTD': '#bf3f8d', 'BTK': '#bf3f74', 'BTP': '#3fbfa7', 'BURP': '#55bf3f', 'B_lectin': '#65bf3f', 'Bac_DnaA_C': '#bf3fac', 'Bac_rhodopsin': '#6bbf3f', 'Beach': '#823fbf', 'Bet_v_1': '#583fbf', 'Beta-Casp': '#3f69bf', 'Beta-TrCP_D': '#bf493f', 'BetaGal_dom2': '#3f92bf', 'Bgal_small_N': '#3f60bf', 'Biotin_carb_C': '#3fbf69', 'BowB': '#b63fbf', 'Brix': '#3f77bf', 'Bro-N': '#3f91bf', 'Brr6_like_C_C': '#bfa93f', 'Btz': '#3f7dbf', 'C1': '#3fbf62', 'C1Q': '#3fbfaa', 'C1_4': '#bd3fbf', 'C2': '#6cbf3f', 'C345C': '#48bf3f', 'C4': '#aabf3f', 'C6': '#883fbf', 'C8': '#7cbf3f', 'CA': '#883fbf', 'CAD': '#9cbf3f', 'CADG': '#9fbf3f', 'CALCITONIN': '#3fbf5a', 'CAMSAP_CKK': '#b23fbf', 'CAP10': '#3fbf71', 'CAP_GLY': '#3f92bf', 'CARD': '#3fbf7d', 'CARP': '#bf633f', 'CASH': '#873fbf', 'CASc': '#a13fbf', 'CAT': '#bf603f', 'CAT_RBD': '#8c3fbf', 'CBD_II': '#6b3fbf', 'CBD_IV': '#3fabbf', 'CBF': '#3fbf9d', 'CBM49': '#bf3f78', 'CBM_10': '#b63fbf', 'CBM_2': '#3f77bf', 'CBM_25': '#bf8c3f', 'CBM_3': '#3f55bf', 'CBM_X': '#bf8b3f', 'CBS': '#3f98bf', 'CCP': '#3fbf73', 'CDC37_C': '#513fbf', 'CDC37_M': '#76bf3f', 'CDC37_N': '#b3bf3f', 'CDC48_2': '#bf9a3f', 'CDC48_N': '#bf863f', 'CDT1': '#3fb1bf', 'CENPB': '#bf3f5e', 'CFEM': '#bf3fb0', 'CG-1': '#3f67bf', 'CGGC': '#3f75bf', 'CH': '#813fbf', 'CHAD': '#bf6a3f', 'CHASE': '#3fafbf', 'CHASE2': '#3f55bf', 'CHB_HEX': '#3f7bbf', 'CHK': '#bf443f', 'CHRD': '#bf3fb2', 'CHROMO': '#3fbfbe', 'CHZ': '#bf3f9b', 'CIMR': '#bf5e3f', 'CKS': '#bfb73f', 'CK_II_beta': '#bf3f4a', 'CLECT': '#46bf3f', 'CLH': '#763fbf', 'CLIP': '#bf3f96', 'CLa': '#3fbabf', 'CLb': '#48bf3f', 'CM_2': '#bf3f85', 'CNH': '#823fbf', 'CNX': '#bf3f5e', 'COG6': '#5e3fbf', 'COLFI': '#bf3f7e', 'COLIPASE': '#bfa33f', 'CO_deh_flav_C': '#bf3f81', 'CP12': '#3fb5bf', 'CPDc': '#7f3fbf', 'CPSF73-100_C': '#3fbf6c', 'CPSase_L_D3': '#babf3f', 'CPSase_sm_chain': '#3fbf93', 'CPW_WPC': '#3f4dbf', 'CRA': '#3fbfb0', 'CRAL_TRIO_N': '#3f98bf', 'CRF': '#3f94bf', 'CRISPR_assoc': '#903fbf', 'CRM1_C': '#6b3fbf', 'CRS1_YhbY': '#6a3fbf', 'CSF2': '#88bf3f', 'CSP': '#bf773f', 'CT': '#bf3fbb', 'CTD': '#3fb2bf', 'CTLH': '#9dbf3f', 'CTNS': '#3fb1bf', 'CUB': '#3f4fbf', 'CUE': '#853fbf', 'CULLIN': '#3fbfad', 'CUT': '#3f7ebf', 'CVNH': '#80bf3f', 'CW': '#3fbf68', 'CXC': '#58bf3f', 'CY': '#b93fbf', 'CYCLIN': '#4cbf3f', 'CYCc': '#bf533f', 'CYTH': '#bf3f70', 'CaMBD': '#763fbf', 'CaM_binding': '#3f75bf', 'Ca_chan_IQ': '#5fbf3f', 'Cache_2': '#bf893f', 'CactinC_cactus': '#3f91bf', 'Cadherin_pro': '#7dbf3f', 'Calx_beta': '#bf6f3f', 'Candida_ALS_N': '#3fbf7a', 'CarD_TRCF': '#bfaf3f', 'Carb_anhydrase': '#3fbf82', 'Catalase': '#bf603f', 'Cation_ATPase_N': '#b63fbf', 'Cdc6_C': '#bf8e3f', 'Cg6151-P': '#bf3f71', 'ChSh': '#bf3f8d', 'ChW': '#813fbf', 'CheW': '#623fbf', 'ChtBD1': '#68bf3f', 'ChtBD2': '#bf8b3f', 'ChtBD3': '#3f77bf', 'Cir_N': '#b63fbf', 'Citrate_ly_lig': '#bfab3f', 'ClpB_D2-small': '#bfa93f', 'CoA_binding': '#93bf3f', 'CoA_trans': '#bfa03f', 'CobW_C': '#bf773f', 'Cog4': '#bf603f', 'Col_cuticle_N': '#bfa63f', 'Connexin_CCC': '#3fbf59', 'Copper-fist': '#af3fbf', 'CorC_HlyC': '#bf3f56', 'Cornichon': '#3fbf66', 'Costars': '#54bf3f', 'CpcD': '#3fbfa2', 'Cpl-7': '#3fbf79', 'Cpn10': '#3fbf43', 'Cu_FIST': '#bb3fbf', 'Cullin_Nedd8': '#bf3f5c', 'Cupin_1': '#aa3fbf', 'Cutinase': '#3fa3bf', 'CxxC_CXXC_SSSS': '#3fbf65', 'Cyan': '#bf3f73', 'Cyanate_lyase': '#bf633f', 'Cyclin_C': '#bf893f', 'CysPc': '#bf493f', 'Cyt-b5': '#bfa83f', 'D-ser_dehydrat': '#3fb4bf', 'D5_N': '#3f73bf', 'DAGKa': '#a93fbf', 'DAGKc': '#3f9dbf', 'DALR_1': '#9abf3f', 'DALR_2': '#bf633f', 'DAX': '#563fbf', 'DBB': '#613fbf', 'DBC1': '#bf553f', 'DBP10CT': '#4fbf3f', 'DBR1': '#69bf3f', 'DCD': '#3f97bf', 'DCP2': '#3fbfa8', 'DCX': '#4d3fbf', 'DDE_1': '#88bf3f', 'DDE_2': '#b83fbf', 'DDE_3': '#3fbf5a', 'DDE_5': '#3f50bf', 'DDE_Tnp_1': '#57bf3f', 'DDE_Tnp_1_2': '#3f52bf', 'DDE_Tnp_1_3': '#3facbf', 'DDE_Tnp_1_4': '#bf3f85', 'DDE_Tnp_1_5': '#3f47bf', 'DDE_Tnp_1_6': '#b4bf3f', 'DDE_Tnp_1_7': '#bf3f70', 'DDE_Tnp_2': '#bf3f9b', 'DDE_Tnp_4': '#3fbf90', 'DDE_Tnp_IS1': '#ac3fbf', 'DDE_Tnp_IS1595': '#3f49bf', 'DDE_Tnp_IS240': '#3f9ebf', 'DDE_Tnp_IS66': '#bf3f5e', 'DDE_Tnp_ISAZ013': '#5f3fbf', 'DDE_Tnp_ISL3': '#bf943f', 'DDE_Tnp_Tn3': '#bf3f48', 'DDHD': '#3fbfb0', 'DDRGK': '#3fbf42', 'DDT': '#653fbf', 'DEATH': '#763fbf', 'DED': '#3f50bf', 'DEDD_Tnp_IS110': '#bf583f', 'DEFSN': '#3fbf4b', 'DELLA': '#3f6abf', 'DENN': '#b53fbf', 'DEP': '#3f7abf', 'DEXDc': '#3f89bf', 'DHDPS': '#bfbd3f', 'DHHA2': '#82bf3f', 'DIL': '#bf5b3f', 'DIM1': '#3fbf71', 'DIRP': '#6b3fbf', 'DISIN': '#9b3fbf', 'DKCLD': '#3f56bf', 'DM': '#733fbf', 'DM10': '#3fbfbe', 'DM11': '#883fbf', 'DM13': '#3fbf73', 'DM14': '#b03fbf', 'DM15': '#bf3f44', 'DM16': '#bf3fa4', 'DM3': '#bf3f87', 'DM4_12': '#bf3f45', 'DM5': '#5dbf3f', 'DM6': '#7c3fbf', 'DM7': '#9abf3f', 'DM8': '#bf5e3f', 'DM9': '#bf3f65', 'DMAP_binding': '#3f50bf', 'DNA_mis_repair': '#3fbf7f', 'DNaseIc': '#79bf3f', 'DP': '#41bf3f', 'DPBB_1': '#3fbfb1', 'DRY_EERY': '#3f86bf', 'DSHCT': '#3f8abf', 'DSL': '#3fbfa4', 'DSPc': '#bf3f8d', 'DSRM': '#3fbfa7', 'DSS1_SEM1': '#ac3fbf', 'DSX_dimer': '#3fb5bf', 'DTW': '#3fbf49', 'DUF1041': '#bf3fb0', 'DUF106': '#bf3f61', 'DUF1086': '#b3bf3f', 'DUF1087': '#3f6abf', 'DUF1220': '#3fbf62', 'DUF1237': '#85bf3f', 'DUF1338': '#bf3f6e', 'DUF1518': '#b7bf3f', 'DUF167': '#3f80bf', 'DUF1693': '#3fbf91', 'DUF1704': '#bfaf3f', 'DUF1713': '#bf8f3f', 'DUF1716': '#3fbf66', 'DUF1719': '#be3fbf', 'DUF1741': '#9e3fbf', 'DUF1744': '#bf3f9e', 'DUF1751': '#653fbf', 'DUF1767': '#bf9a3f', 'DUF1771': '#3fbf51', 'DUF1785': '#bf3f70', 'DUF1856': '#3f84bf', 'DUF1866': '#94bf3f', 'DUF1899': '#3fbfa4', 'DUF1900': '#3f6cbf', 'DUF1907': '#bf583f', 'DUF1943': '#bf713f', 'DUF1944': '#3fbfbc', 'DUF3160': '#3fbf55', 'DUF3385': '#3f77bf', 'DUF3402': '#bfb43f', 'DUF3452': '#bfa13f', 'DUF3454': '#bfac3f', 'DUF3480': '#3f52bf', 'DUF3585': '#3fbf60', 'DUF3635': '#3fbf51', 'DUF3700': '#3fbf85', 'DUF4187': '#a13fbf', 'DUF4205': '#bf463f', 'DUF4206': '#bf3fbc', 'DUF4208': '#3fbf66', 'DUF4210': '#bf6c3f', 'DUF4217': '#bf4d3f', 'DUF663': '#bf3fbc', 'DUF862': '#a3bf3f', 'DUSP': '#b4bf3f', 'DWA': '#bf723f', 'DWB': '#3f9ebf', 'DWNN': '#3fbf57', 'DYNc': '#bfa83f', 'DZF': '#b9bf3f', 'Dabb': '#3f44bf', 'Dak1_2': '#bf3f4e', 'Dak2': '#3f86bf', 'Defensin_propep': '#bf3f47', 'DeoC': '#3fbfb6', 'DeoRC': '#66bf3f', 'DnaG_DnaB_bind': '#bf663f', 'DnaJ': '#3fb8bf', 'DoH': '#a5bf3f', 'Drf_FH3': '#3fbf97', 'Drf_GBD': '#3fabbf', 'Dynein_light': '#aa3fbf', 'DysFC': '#b0bf3f', 'DysFN': '#3fa7bf', 'E2F_TDP': '#3fbf7a', 'E2_bind': '#853fbf', 'EAL': '#bf843f', 'EB_dh': '#57bf3f', 'ECSIT_Cterm': '#3fbfb7', 'EF-1_beta_acid': '#3fbf8e', 'EF1G': '#bf3f5f', 'EF1_GNE': '#bf3f84', 'EFG_C': '#3f49bf', 'EFG_IV': '#bf3f6b', 'EFP': '#bf693f', 'EFh': '#753fbf', 'EGF': '#90bf3f', 'EGF_CA': '#8c3fbf', 'EGF_Lam': '#6ebf3f', 'EGF_like': '#a8bf3f', 'EH': '#6ebf3f', 'EKR': '#3fb2bf', 'ELFV_dehydrog': '#bf3f8a', 'ELK': '#3fbf5f', 'ELM2': '#3f4dbf', 'EMP24_GP25L': '#3fbfa0', 'END': '#3f9abf', 'ENDO3c': '#60bf3f', 'ENT': '#3fbfbc', 'ENTH': '#3fbf8a', 'EPEND': '#9b3fbf', 'EPH_lbd': '#b9bf3f', 'ERCC4': '#983fbf', 'ETF': '#54bf3f', 'ETS': '#5f3fbf', 'EXOIII': '#3f86bf', 'EZ_HEAT': '#63bf3f', 'Elicitin': '#bf9b3f', 'Elong-fact-P_C': '#43bf3f', 'Elp3': '#40bf3f', 'Endonuclease_NS': '#54bf3f', 'Enolase_C': '#bfb13f', 'Enolase_N': '#853fbf', 'Ephrin_rec_like': '#3fbf43', 'EsV_1_7': '#933fbf', 'Excalibur': '#bf3fb3', 'FA': '#bf3f62', 'FA58C': '#683fbf', 'FABD': '#b7bf3f', 'FACT-Spt16_Nlob': '#3f80bf', 'FANCL_C': '#bf803f', 'FAS1': '#bf3f9f', 'FATC': '#3f52bf', 'FBA': '#3f84bf', 'FBD': '#3f78bf', 'FBG': '#bf3f71', 'FBOX': '#3fbebf', 'FCD': '#3fbf9f', 'FCH': '#9abf3f', 'FDF': '#3fbf7c', 'FDX-ACB': '#bf3f5c', 'FERM_C': '#a6bf3f', 'FES': '#96bf3f', 'FF': '#3fbf45', 'FGF': '#bf3fa1', 'FH': '#aebf3f', 'FH2': '#4cbf3f', 'FHA': '#79bf3f', 'FIMAC': '#bf3fa1', 'FISNA': '#423fbf', 'FIST': '#3fbfb3', 'FIST_C': '#3fa1bf', 'FKS1_dom1': '#3fbfa2', 'FMN_bind': '#bfa33f', 'FN1': '#753fbf', 'FN2': '#3f97bf', 'FN3': '#3f7ebf', 'FOLN': '#3f4cbf', 'FRG': '#bf3f5a', 'FRI': '#3fbfa5', 'FSA_C': '#3fbf80', 'FTCD': '#9f3fbf', 'FTCD_N': '#bf493f', 'FTO_NTD': '#3f47bf', 'FTP': '#a33fbf', 'FU': '#bf413f', 'FYRC': '#bf3f4a', 'FYRN': '#3f6dbf', 'FYVE': '#bf3f87', 'Fapy_DNA_glyco': '#703fbf', 'Fe_hyd_SSU': '#bf3f62', 'FeoA': '#3f53bf', 'FerA': '#bf3f84', 'FerB': '#3f7bbf', 'FerI': '#3f46bf', 'Fib_alpha': '#bf5e3f', 'Fibrillarin': '#3fb4bf', 'Filament': '#3fa1bf', 'Flavin_Reduct': '#bf8b3f', 'Flavokinase': '#3fbf86', 'Flo11': '#54bf3f', 'Flu_M1_C': '#bf3f99', 'Fmp27_GFWDK': '#bf3fad', 'Fmp27_SW': '#3f7bbf', 'Fmp27_WPPW': '#3fbfba', 'Fn3_like': '#bf5b3f', 'FoP_duplication': '#3f89bf', 'FolB': '#bf3f51', 'Frataxin_Cyay': '#77bf3f', 'Frizzled': '#993fbf', 'FtsA': '#3f50bf', 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'UreE_N': '#72bf3f', 'V4R': '#3fabbf', 'VHP': '#bcbf3f', 'VHS': '#bf603f', 'VIT': '#bf3f81', 'VKc': '#783fbf', 'VPS10': '#bf3f98', 'VPS9': '#b93fbf', 'VRR_NUC': '#3fbf7d', 'VWA': '#9f3fbf', 'VWC': '#bf9d3f', 'VWD': '#3f75bf', 'Viral_Rep': '#bf473f', 'WAP': '#3fbf51', 'WD40': '#abbf3f', 'WGR': '#bf3f53', 'WH1': '#bf3f51', 'WH2': '#413fbf', 'WHEP-TRS': '#bd3fbf', 'WHy': '#3fbf6b', 'WIF': '#80bf3f', 'WNT1': '#3f75bf', 'WR1': '#3f4cbf', 'WRKY': '#bfb73f', 'WSC': '#bf633f', 'WSN': '#3fbfad', 'WW': '#bf3f93', 'WWE': '#3fb2bf', 'X8': '#6d3fbf', 'XPGI': '#4bbf3f', 'XPGN': '#3fb2bf', 'XTALbg': '#3fbf5f', 'Xer': '#bf3f6a', 'Y1_Tnp': '#b63fbf', 'YARHG': '#bf3f4a', 'YL1_C': '#bf9b3f', 'YaeQ': '#bf8b3f', 'YajC': '#3fbf42', 'YccV-like': '#bf573f', 'YceI': '#b03fbf', 'YqgFc': '#77bf3f', 'ZM': '#a0bf3f', 'ZP': '#3f91bf', 'ZU5': '#43bf3f', 'Zalpha': '#3fa7bf', 'Zds_C': '#b6bf3f', 'ZipA_C': '#3f86bf', 'ZnF_A20': '#bf4c3f', 'ZnF_AN1': '#bf7e3f', 'ZnF_BED': '#bf643f', 'ZnF_C2C2': '#3fbf40', 'ZnF_C2H2': 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'Phage_GPA': '#3fbf4f', 'Phage_integrase': '#3f60bf', 'PhnA_Zn_Ribbon': '#bf3f5f', 'Piwi': '#76bf3f', 'PlsC': '#79bf3f', 'Plus3': '#bf3f92', 'PolyA': '#4fbf3f', 'PostSET': '#3fbf62', 'PreSET': '#3fa3bf', 'PriCT_1': '#3fbfba', 'Pribosyltran_N': '#3fbf8b', 'Prim-Pol': '#4fbf3f', 'Prim_Zn_Ribbon': '#7f3fbf', 'Pro-kuma_activ': '#5bbf3f', 'Pro-rich': '#bf3f8e', 'ProQ': '#bf3f44', 'ProRS-C_1': '#69bf3f', 'Pro_CA': '#3f81bf', 'Proteasome_A_N': '#bf3f8e', 'Pumilio': '#bf3f50', 'QLQ': '#bf3f84', 'R3H': '#63bf3f', 'RA': '#bfbb3f', 'RAB': '#bf7e3f', 'RAN': '#3f41bf', 'RAP': '#3fbebf', 'RAS': '#3fbf9f', 'RBD': '#4d3fbf', 'RB_A': '#533fbf', 'REC': '#3fbf5c', 'RES': '#3fbf4b', 'RESP18': '#3f7ebf', 'RFX5_DNA_bdg': '#68bf3f', 'RGS': '#3fbabf', 'RHO': '#bf9a3f', 'RHOD': '#3f61bf', 'RIBOc': '#813fbf', 'RICIN': '#3f5ebf', 'RICTOR_M': '#bf983f', 'RICTOR_N': '#3f7dbf', 'RICTOR_V': '#bf983f', 'RICTOR_phospho': '#6e3fbf', 'RIIa': '#bf3f88', 'RING': '#7b3fbf', 'RINGv': '#3fbf69', 'RIO': '#3f4cbf', 'RL11': '#503fbf', 'RNA_pol_Rpb6': '#bf3f62', 'RNAse_Pc': '#3fbf69', 'RNB': '#3fbf9c', 'RPEL': '#3fbfa7', 'RPOL4c': '#96bf3f', 'RPOL8c': '#b0bf3f', 'RPOL9': '#bf3f7c', 'RPOLA_N': '#3fbf5c', 'RPOLCX': '#bf3f71', 'RPOLD': '#823fbf', 'RPOL_N': '#bf3fa7', 'RPR': '#96bf3f', 'RQC': '#3f78bf', 'RRM': '#6d3fbf', 'RTC4': '#bf3f51', 'RUN': '#99bf3f', 'RWD': '#3fbf83', 'RanBD': '#b93fbf', 'Rapamycin_bind': '#3f78bf', 'Raptor_N': '#93bf3f', 'RasGAP': '#3f3fbf', 'RasGEF': '#3fbf4f', 'RasGEFN': '#bf9e3f', 'RasGEF_N_2': '#bf3f54', 'Ras_bdg_2': '#3fbf96', 'Rb_C': '#bf3f44', 'RelA_SpoT': '#bf3f82', 'Relaxase': '#883fbf', 'Rep_1': '#3f87bf', 'Rep_2': '#5dbf3f', 'Rep_N': '#a3bf3f', 'Resolvase': '#bf583f', 'RhoGAP': '#3f72bf', 'RhoGEF': '#bf3f8d', 'Rho_N': '#3fbfa5', 'Ribosomal_L14': '#3fa0bf', 'Ribosomal_L15e': '#8ebf3f', 'Ribosomal_L19e': '#3fbfab', 'Ribosomal_L2': '#923fbf', 'Ribosomal_L2_C': '#3fbfa8', 'Ribosomal_L31e': '#bf4d3f', 'Ribosomal_L32e': '#873fbf', 'Ribosomal_L40e': '#bf7d3f', 'Ribosomal_S10': '#3f46bf', 'Ribosomal_S13_N': '#3fbfb4', 'Ribosomal_S15': '#853fbf', 'Ribosomal_S19e': '#bf3f54', 'Ribosomal_S27': '#bf3f9f', 'Ribosomal_S3Ae': '#58bf3f', 'Ribosomal_S4': '#bf3f76', 'Ribosomal_S6e': '#bf3f40', 'RitA': '#3f98bf', 'RitB': '#3f4abf', 'RitC': '#3fbf90', 'Robl_LC7': '#3fabbf', 'Romo1': '#3f70bf', 'Rtt106': '#3fbfa2', 'RuBisCO_small': '#3f5ebf', 'S1': '#3f43bf', 'S4': '#bf473f', 'SAA': '#3f43bf', 'SAF': '#3f5ebf', 'SAM': '#3fa7bf', 'SAM_HD_adjacent': '#bf3fa7', 'SAM_PNT': '#3f63bf', 'SAND': '#bf773f', 'SANT': '#bf5d3f', 'SAP': '#3f4dbf', 'SAPA': '#3fbf6c', 'SAR': '#3fbf82', 'SARA': '#54bf3f', 'SATase_N': '#bf4c3f', 'SCAN': '#bf3f90', 'SCP': '#bf943f', 'SCPU': '#3fbdbf', 'SCY': '#3fa0bf', 'SEA': '#af3fbf', 'SEC14': '#3fbfa8', 'SEL1': '#3f7abf', 'SEP': '#3fbfb0', 'SERPIN': '#bf6d3f', 'SET': '#bd3fbf', 'SFM': '#3f9dbf', 'SH2': '#3fbf49', 'SH3': '#7f3fbf', 'SH3b': '#bf5e3f', 'SHR3_chaperone': '#99bf3f', 'SIGNAL': '#bf8b3f', 'SMC_hinge': '#ad3fbf', 'SMI1_KNR4': '#5fbf3f', 'SMR': '#3f94bf', 'SNc': '#3fbf8a', 'SO': '#bf3f45', 'SOCS': '#7e3fbf', 'SOCS_box': '#3f67bf', 'SPEC': '#83bf3f', 'SPK': '#8a3fbf', 'SPOB_ab': '#753fbf', 'SPRY': '#79bf3f', 'SPT16': '#3fb1bf', 'SPT2': '#3f61bf', 'SR': '#41bf3f', 'SRA': '#ac3fbf', 'SRP54': '#3fbfaa', 'SRP54_N': '#bf443f', 'START': '#3fb4bf', 'STAT_int': '#3f5dbf', 'STE': '#753fbf', 'STI': '#bf3f5f', 'STI1': '#443fbf', 'STN': '#52bf3f', 'STYKc': '#3f80bf', 'SVWC': '#bf663f', 'SWAP': '#3f58bf', 'SWIB': '#963fbf', 'S_100': '#bf573f', 'S_TK_X': '#583fbf', 'S_TKc': '#423fbf', 'SapB': '#733fbf', 'Sds3': '#3fbabf', 'Sec3-PIP2_bind': '#bfaf3f', 'Sec63': '#bf3f76', 'Sec7': '#bf7b3f', 'SecA_DEAD': '#3f9bbf', 'SecA_PP_bind': '#bf5a3f', 'Sema': '#3fbfa5', 'Semialdhyde_dh': '#bf3f76', 'ShKT': '#b1bf3f', 'Skp1': '#bf3f9c', 'Sm': '#3f8fbf', 'SnAC': '#aa3fbf', 'Solute_trans_a': '#bf863f', 'Sorb': '#bf6c3f', 'Spc7': '#3fbf8d', 'Spc7_N': '#bf7b3f', 'Spo7_2_N': '#bf3f61', 'SpoU_sub_bind': '#4a3fbf', 'SpoVT_AbrB': '#3f59bf', 'SprT': '#3fbf9a', 'Spt4': '#bf3f4a', 'Sybindin': '#3fbf5f', 'SynN': '#bfbb3f', 'T5orf172': '#3f4dbf', 'TAF': '#97bf3f', 'TAFH': '#bf3f5c', 'TAFII55_N': '#48bf3f', 'TAN': '#bf3f40', 'TAP_C': '#bf873f', 'TBC': '#bfa93f', 'TBOX': '#82bf3f', 'TDU': '#443fbf', 'TEA': '#bf583f', 'TECPR': '#55bf3f', 'TFIIA': '#3fbf9d', 'TFIIE': '#57bf3f', 'TFS2M': '#3f81bf', 'TFS2N': '#3fbf82', 'TGFB': '#3f47bf', 'TGc': '#bf4d3f', 'THAP': '#bd3fbf', 'THEG': '#bf553f', 'THN': '#adbf3f', 'THUMP': '#bf673f', 'THY': '#3f7ebf', 'TIFY': '#3f5ebf', 'TIR': '#5f3fbf', 'TK': '#bf3f68', 'TLC': '#3fbf86', 'TLDc': '#bf773f', 'TNF': '#bf983f', 'TNFR': '#bf813f', 'TOG': '#bf743f', 'TOP1Ac': '#3f4fbf', 'TOP1Bc': '#8a3fbf', 'TOP2c': '#4fbf3f', 'TOP4c': '#3f55bf', 'TOPEUc': '#3f8fbf', 'TOPRIM': '#65bf3f', 'TPK_B1_binding': '#3fbfb3', 'TPR': '#bf3f6e', 'TRANS': '#3fbf65', 'TRASH': '#bf3f78', 'TRCF': '#bf3fa5', 'TRP_2': '#bf9e3f', 'TRP_N': '#45bf3f', 'TR_FER': '#7fbf3f', 'TR_THY': '#3f50bf', 'TSP1': '#3fbf91', 'TSPN': '#bf3f61', 'TSPc': '#3fbf5c', 'TUDOR': '#3f84bf', 'TY': '#bf3f45', 'Tankyrase_bdg_C': '#40bf3f', 'TarH': '#3fbf9c', 'Tbf5': '#3fb2bf', 'Telo_bind': '#793fbf', 'Telomerase_RBD': '#bf3fb0', 'Tet_JBP': '#bf3f9f', 'Thiol-ester_cl': '#3f4cbf', 'Thymopoietin': '#763fbf', 'TilS_C': '#3f6fbf', 'Tim44': '#3f6dbf', 'Tn7_Tnp_TnsA_N': '#3fbf60', 'TnpA': '#60bf3f', 'TnpR': '#b7bf3f', 'Tower': '#8bbf3f', 'Trans_reg_C': '#3fb5bf', 'Transket_pyr': '#bf813f', 'Transposase_20': '#3fbf93', 'Transposase_21': '#3f66bf', 'Transposase_31': '#3fbf52', 'Transposase_mut': '#5e3fbf', 'TrwC': '#3f5ebf', 'Tryp_SPc': '#bdbf3f', 'Tubulin': '#bf3f96', 'Tubulin_C': '#bf663f', 'TyrKc': '#3f70bf', 'UAS': '#9e3fbf', 'UBA': '#9cbf3f', 'UBA_e1_C': '#3fbf60', 'UBCc': '#adbf3f', 'UBQ': '#b4bf3f', 'UBX': '#3fbf65', 'UDG': '#b93fbf', 'UDPG_MGDP_dh_C': '#b1bf3f', 'UIM': '#bf3fa2', 'UME': '#bf3fb5', 'UTG': '#bf3f5c', 'UTRA': '#bf673f', 'Ubox': '#7abf3f', 'UreE_C': '#3fbfb3', 'UreE_N': '#72bf3f', 'V4R': '#3fabbf', 'VHP': '#bcbf3f', 'VHS': '#bf603f', 'VIT': '#bf3f81', 'VKc': '#783fbf', 'VPS10': '#bf3f98', 'VPS9': '#b93fbf', 'VRR_NUC': '#3fbf7d', 'VWA': '#9f3fbf', 'VWC': '#bf9d3f', 'VWD': '#3f75bf', 'Viral_Rep': '#bf473f', 'WAP': '#3fbf51', 'WD40': '#abbf3f', 'WGR': '#bf3f53', 'WH1': '#bf3f51', 'WH2': '#413fbf', 'WHEP-TRS': '#bd3fbf', 'WHy': '#3fbf6b', 'WIF': '#80bf3f', 'WNT1': '#3f75bf', 'WR1': '#3f4cbf', 'WRKY': '#bfb73f', 'WSC': '#bf633f', 'WSN': '#3fbfad', 'WW': '#bf3f93', 'WWE': '#3fb2bf', 'X8': '#6d3fbf', 'XPGI': '#4bbf3f', 'XPGN': '#3fb2bf', 'XTALbg': '#3fbf5f', 'Xer': '#bf3f6a', 'Y1_Tnp': '#b63fbf', 'YARHG': '#bf3f4a', 'YL1_C': '#bf9b3f', 'YaeQ': '#bf8b3f', 'YajC': '#3fbf42', 'YccV-like': '#bf573f', 'YceI': '#b03fbf', 'YqgFc': '#77bf3f', 'ZM': '#a0bf3f', 'ZP': '#3f91bf', 'ZU5': '#43bf3f', 'Zalpha': '#3fa7bf', 'Zds_C': '#b6bf3f', 'ZipA_C': '#3f86bf', 'ZnF_A20': '#bf4c3f', 'ZnF_AN1': '#bf7e3f', 'ZnF_BED': '#bf643f', 'ZnF_C2C2': '#3fbf40', 'ZnF_C2H2': '#bf3f59', 'ZnF_C2HC': '#5dbf3f', 'ZnF_C3H1': '#bf443f', 'ZnF_C4': '#bf803f', 'ZnF_CDGSH': '#3fbf49', 'ZnF_CHCC': '#9f3fbf', 'ZnF_DBF': '#3fbf59', 'ZnF_GATA': '#7cbf3f', 'ZnF_NFX': '#bd3fbf', 'ZnF_PMZ': '#a8bf3f', 'ZnF_RBZ': '#3f9dbf', 'ZnF_Rad18': '#3fbf93', 'ZnF_TAZ': '#bf6a3f', 'ZnF_TTF': '#3f5dbf', 'ZnF_U1': '#bf3f8b', 'ZnF_UBP': '#3fbf85', 'ZnF_UBR1': '#3f80bf', 'ZnF_ZZ': '#bf803f', 'ZnMc': '#8ebf3f', 'Zn_dep_PLPC': '#723fbf', 'Zn_pept': '#bf3f4d', 'Zpr1': '#aebf3f', 'acidPPc': '#bf443f', 'alkPPc': '#3f55bf', 'btg1': '#bf773f', 'c-SKI_SMAD_bind': '#bf3f84', 'c-clamp': '#533fbf', 'cNMP': '#3fbf57', 'calpain_III': '#a13fbf', 'cas1': '#7abf3f', 'cwf21': '#3fbf5c', 'dDENN': '#3f7bbf', 'eIF-5a': '#bf4d3f', 'eIF1a': '#bf5e3f', 'eIF2B_5': '#3fbf77', 'eIF3_N': '#3f92bf', 'eIF5C': '#3f86bf', 'eIF6': '#7c3fbf', 'eRF1_1': '#3f5ebf', 'efhand_Ca_insen': '#bf3f8a', 'fCBD': '#3f77bf', 'huh_y1': '#3f8fbf', 'huh_y2': '#bfb23f', 'malic': '#3fbf4b', 'rADc': '#a33fbf', 'rve': '#3fbf8a', 'rve_2': '#3fbf52', 'rve_3': '#b53fbf', 's48_45': '#3fbdbf', 'ser_ce': '#68bf3f', 'ser_lsr': '#4ebf3f', 'ser_tn': '#82bf3f', 'small_GTPase': '#bf443f', 'tRNA_SAD': '#b6bf3f', 't_SNARE': '#3f44bf', 'uDENN': '#3fbf71', 'zf-3CxxC': '#3facbf', 'zf-AD': '#a8bf3f', 'zf-C4_ClpX': '#bf3f40', 'zf-PARP': '#3f3fbf'}, column=21, *args, **kwargs)

eggnog6

class LayoutBestName(prop='best_name', name='Best name', pos='aligned', column=3, color='black', *args, **kwargs)

__init__(prop='best_name', name='Best name', pos='aligned', column=3, color='black', *args, **kwargs)

class LayoutBigg(prop='bigg', name='BIGG', pos='aligned', column=8, color='gray', *args, **kwargs)

__init__(prop='bigg', name='BIGG', pos='aligned', column=8, color='gray', *args, **kwargs)

class LayoutCard(prop='card', name='CARD', pos='aligned', column=6, color='gray', *args, **kwargs)

__init__(prop='card', name='CARD', pos='aligned', column=6, color='gray', *args, **kwargs)

class LayoutCazy(prop='cazy', name='Cazy', pos='aligned', column=5, color='gray', *args, **kwargs)

__init__(prop='cazy', name='Cazy', pos='aligned', column=5, color='gray', *args, **kwargs)

class LayoutEvolEvents(name='Evolutionary events', prop='evol_event', speciation_color='blue', duplication_color='red', legend=True)

__init__(name='Evolutionary events', prop='evol_event', speciation_color='blue', duplication_color='red', legend=True)

set_node_style(node)

set_tree_style(tree, tree_style)

class LayoutKeggEnzyme(prop='kegg_enzyme', name='KEGG enzyme', pos='aligned', column=12, color='gray', *args, **kwargs)

__init__(prop='kegg_enzyme', name='KEGG enzyme', pos='aligned', column=12, color='gray', *args, **kwargs)

class LayoutKeggModule(prop='kegg_module', name='KEGG module', pos='aligned', column=11, color='gray', *args, **kwargs)

__init__(prop='kegg_module', name='KEGG module', pos='aligned', column=11, color='gray', *args, **kwargs)

class LayoutKeggNumber(prop='kegg_number', name='KEGG number', pos='aligned', column=9, color='gray', *args, **kwargs)

__init__(prop='kegg_number', name='KEGG number', pos='aligned', column=9, color='gray', *args, **kwargs)

class LayoutKeggPathway(prop='kegg_pathway', name='KEGG pathway', pos='aligned', column=10, color='gray', *args, **kwargs)

__init__(prop='kegg_pathway', name='KEGG pathway', pos='aligned', column=10, color='gray', *args, **kwargs)

class LayoutLastCommonAncestor(name='Last common ancestor', rect_width=15, column=1000)

Node properties needed

taxid:

color

sci_name:

text shown

__init__(name='Last common ancestor', rect_width=15, column=1000)

get_color(node)

set_node_style(node)

class LayoutPdb(prop='pdb', name='PDB', pos='aligned', column=7, color='gray', *args, **kwargs)

__init__(prop='pdb', name='PDB', pos='aligned', column=7, color='gray', *args, **kwargs)

class LayoutPfamDomains(prop='pfam', name='Pfam domains', colormap={'#Pfam': '#bf5c3f', '1-cysPrx_C': '#55bf3f', '120_Rick_ant': '#3fb6bf', '12TM_1': '#bf3f60', '14-3-3': '#97bf3f', '17kDa_Anti_2': '#67bf3f', '2-Hacid_dh': '#afbf3f', '2-Hacid_dh_C': '#3fbf5c', '2-oxoacid_dh': '#7bbf3f', '2-oxogl_dehyd_N': '#bfad3f', '2-ph_phosp': '#46bf3f', '2-thiour_desulf': '#6f3fbf', '23ISL': '#3fb8bf', '23S_rRNA_IVP': '#3fbf98', '2CSK_N': '#3f99bf', '2C_adapt': '#3fbfa4', '2EXR': '#3fbf4b', '2Fe-2S_Ferredox': '#bf3fa9', '2Fe-2S_thioredx': '#3fafbf', '2H-phosphodiest': '#3fbfb2', '2HCT': '#bebf3f', '2OG-FeII_Oxy': '#bf703f', '2OG-FeII_Oxy_2': '#3fbf8a', '2OG-FeII_Oxy_3': '#3fbcbf', '2OG-FeII_Oxy_4': '#bf633f', '2OG-FeII_Oxy_5': '#3f88bf', '2OG-FeII_Oxy_6': '#3f64bf', '2OG-Fe_Oxy_2': '#a83fbf', '2TM': '#883fbf', '2_5_RNA_ligase2': '#973fbf', '3-HAO': '#bf493f', '3-PAP': '#3fbf82', '3-alpha': '#bf693f', '3-dmu-9_3-mt': '#aebf3f', '3Beta_HSD': '#bf3f9d', '3D': '#bf3f58', '3H': '#3f74bf', '3HBOH': '#5ebf3f', '3HCDH': '#3fbf89', '3HCDH_N': '#893fbf', '3HCDH_RFF': '#bfb43f', '3keto-disac_hyd': '#3fbf75', '40S_S4_C': '#bfab3f', '40S_SA_C': '#bf3f49', '4F5': '#52bf3f', '4HB': '#3fa8bf', '4HBT': '#3f76bf', '4HBT_2': '#bebf3f', '4HBT_3': '#3fafbf', '4HB_MCP_1': '#3fb0bf', '4HFCP_synth': '#3fa5bf', '4HPAD_g_N': '#3fb8bf', '4PPT_N': '#bf433f', '4_1_CTD': '#3fbf42', '5-FTHF_cyc-lig': '#bf793f', '5-nucleotidase': '#3f77bf', '53-BP1_Tudor': '#bf3f96', '5HT_transport_N': '#59bf3f', '5TM-5TMR_LYT': '#bf3f5d', '5_3_exonuc': '#3fbf73', '5_3_exonuc_N': '#a53fbf', '5_nucleotid': '#bf913f', '5_nucleotid_C': '#3f8dbf', '60KD_IMP': '#3fbfb3', '6PF2K': '#bfb03f', '6PGD': '#3f50bf', '7TM-7TMR_HD': '#a4bf3f', '7TMR-DISMED2': '#3f8ebf', '7TMR-DISM_7TM': '#3fbf5c', '7TMR-HDED': '#b13fbf', '7TM_GPCR_Sra': '#bf823f', '7TM_GPCR_Srab': '#3fbfad', '7TM_GPCR_Srb': '#aabf3f', '7TM_GPCR_Srbc': '#bfa73f', '7TM_GPCR_Srd': '#bf563f', '7TM_GPCR_Srh': '#3fbfa4', '7TM_GPCR_Sri': '#8b3fbf', '7TM_GPCR_Srj': '#3fbf65', '7TM_GPCR_Srsx': '#3fb8bf', '7TM_GPCR_Srt': '#3f5fbf', '7TM_GPCR_Sru': '#9a3fbf', '7TM_GPCR_Srv': '#5e3fbf', '7TM_GPCR_Srw': '#bf8b3f', '7TM_GPCR_Srx': '#3fbcbf', '7TM_GPCR_Srz': '#78bf3f', '7TM_GPCR_Str': '#bf7c3f', '7TM_transglut': '#3fa1bf', '7kD_DNA_binding': '#3fbf42', '7tm_1': '#3fbf4e', '7tm_2': '#4c3fbf', '7tm_3': '#bf3f83', '7tm_4': '#3f81bf', '7tm_6': '#3fbf8d', '7tm_7': '#bf3f5d', '8TM_micro': '#3f96bf', 'A-2_8-polyST': '#3fa8bf', 'A1_Propeptide': '#3fbf47', 'A2L_zn_ribbon': '#bfa83f', 'A2M': '#bf3fb1', 'A2M_BRD': '#58bf3f', 'A2M_recep': '#bf3fa3', 'AA9': '#b8bf3f', 'AAA': '#a23fbf', 'AAA-ATPase_like': '#bf7d3f', 'AAA_10': '#3fbf90', 'AAA_11': '#3f81bf', 'AAA_12': '#bfb03f', 'AAA_13': '#bf3f99', 'AAA_14': '#3f79bf', 'AAA_15': '#bf3f68', 'AAA_16': '#bf3fb3', 'AAA_17': '#3fbfaf', 'AAA_18': '#3fbfa9', 'AAA_19': '#3fbfb0', 'AAA_2': '#bfaa3f', 'AAA_21': '#bfad3f', 'AAA_22': '#bf3f82', 'AAA_23': '#3fbf7b', 'AAA_24': '#83bf3f', 'AAA_25': '#50bf3f', 'AAA_26': '#443fbf', 'AAA_27': '#6dbf3f', 'AAA_28': '#bf3fb3', 'AAA_29': '#3f90bf', 'AAA_3': '#bf3f41', 'AAA_30': '#bfb43f', 'AAA_31': '#833fbf', 'AAA_32': '#bf913f', 'AAA_33': '#bdbf3f', 'AAA_34': '#6dbf3f', 'AAA_35': '#b8bf3f', 'AAA_5': '#a0bf3f', 'AAA_6': '#3fbfa0', 'AAA_7': '#7ebf3f', 'AAA_8': '#773fbf', 'AAA_9': '#723fbf', 'AAA_PrkA': '#3fadbf', 'AAA_assoc': '#bf9f3f', 'AAA_assoc_2': '#b83fbf', 'AAA_assoc_C': '#3fa2bf', 'AAA_lid_1': '#bf3f74', 'AAA_lid_10': '#3fbf64', 'AAA_lid_11': '#bfa73f', 'AAA_lid_2': '#3fbf7f', 'AAA_lid_3': '#bf3f77', 'AAA_lid_4': '#a0bf3f', 'AAA_lid_5': '#3fbfb8', 'AAA_lid_6': '#3f74bf', 'AAA_lid_7': '#bf3f54', 'AAA_lid_8': '#bf3f7c', 'AAA_lid_9': '#7d3fbf', 'AAL_decarboxy': '#bf3f71', 'AAR2': '#bf483f', 'AARP2CN': '#42bf3f', 'AAT': '#3fbf81', 'AATF-Che1': '#3f70bf', 'AATase': '#bf943f', 'AA_kinase': '#78bf3f', 'AA_permease': '#bf3f85', 'AA_permease_2': '#bf3f66', 'AA_permease_C': '#bfab3f', 'AA_permease_N': '#3f65bf', 'AA_synth': '#7b3fbf', 'ABA4-like': '#3fbf5b', 'ABATE': '#3fbf61', 'ABA_GPCR': '#bf823f', 'ABA_WDS': '#3fadbf', 'ABC-3': '#3fbf48', 'ABC1': '#bf3fae', 'ABC2_membrane': '#afbf3f', 'ABC2_membrane_2': '#3f67bf', 'ABC2_membrane_3': '#bebf3f', 'ABC2_membrane_4': '#783fbf', 'ABC2_membrane_5': '#46bf3f', 'ABC2_membrane_6': '#bf7d3f', 'ABC2_membrane_7': '#7dbf3f', 'ABC_ATPase': '#bf9a3f', 'ABC_N': '#3f9cbf', 'ABC_cobalt': '#b73fbf', 'ABC_export': '#3f68bf', 'ABC_membrane': '#8b3fbf', 'ABC_membrane_2': '#3f9bbf', 'ABC_membrane_3': '#3fbf4a', 'ABC_sub_bind': '#bf3f85', 'ABC_toxin_N': '#5bbf3f', 'ABC_tran': '#bfb33f', 'ABC_tran_2': '#b53fbf', 'ABC_tran_CTD': '#a1bf3f', 'ABC_tran_Xtn': '#bfb03f', 'ABC_trans_CmpB': '#92bf3f', 'ABC_trans_N': '#bfa13f', 'ABC_trans_aux': '#bf3fbf', 'ABC_transp_aux': '#3fa4bf', 'ABG_transport': '#643fbf', 'ABHD18': '#3f9cbf', 'ABM': '#3fadbf', 'ACAS_N': '#bf3f91', 'ACBP': '#bf483f', 'ACCA': '#90bf3f', 'ACC_central': '#3f43bf', 'ACC_epsilon': '#a0bf3f', 'ACD': '#663fbf', 'ACDC': '#af3fbf', 'ACDH_C': '#bf3fa8', 'ACI44': '#5d3fbf', 'ACOX': '#3fbf5b', 'ACP': '#923fbf', 'ACP53EA': '#673fbf', 'ACPS': '#3f99bf', 'ACP_PD': '#bf993f', 'ACP_syn_III': '#bf763f', 'ACP_syn_III_C': '#3fbf8a', 'ACR_tran': '#bf423f', 'ACS_CODH_B_C': '#70bf3f', 'ACT': '#3f81bf', 'ACTH_domain': '#923fbf', 'ACTL7A_N': '#3f9ebf', 'ACT_3': '#9b3fbf', 'ACT_4': '#6a3fbf', 'ACT_5': '#bf3f8b', 'ACT_6': '#3fbfa7', 'ACT_7': '#3fbf56', 'ACT_8': '#3fbebf', 'AC_1': '#bf3fb0', 'AC_N': '#923fbf', 'AChE_tetra': '#3fa4bf', 'AD': '#bf3f62', 'ADAM17_MPD': '#3fbf7b', 'ADAMTS_CR_2': '#90bf3f', 'ADAMTS_CR_3': '#3fbebf', 'ADAMTS_spacer1': '#60bf3f', 'ADAM_CR': '#bf3f69', 'ADC': '#bf3f6e', 'ADD_ATRX': '#bf3f97', 'ADD_DNMT3': '#3fbcbf', 'ADH_N': '#6c3fbf', 'ADH_N_2': '#bf6e3f', 'ADH_N_assoc': '#743fbf', 'ADH_zinc_N': '#3f4bbf', 'ADH_zinc_N_2': '#6fbf3f', 'ADI': '#3f96bf', 'ADIP': '#9e3fbf', 'ADK': '#3fbfaa', 'ADK_lid': '#6c3fbf', 'ADNP_N': '#5e3fbf', 'ADPRTs_Tse2': '#53bf3f', 'ADP_PFK_GK': '#3fbf4e', 'ADP_ribosyl_GH': '#bfbc3f', 'ADPrib_exo_Tox': '#3f85bf', 'ADSL_C': '#bf4f3f', 'ADYC': '#b53fbf', 'AEP1': '#953fbf', 'AF-4': '#3faabf', 'AF-4_C': '#bf943f', 'AF0941-like': '#59bf3f', 'AF2212-like': '#3fbfb8', 'AF2331-like': '#3fbf58', 'AF4_int': '#bf3f8f', 'AFG1_ATPase': '#bf7f3f', 'AFOR_C': '#bf683f', 'AFOR_N': '#6dbf3f', 'AFP': '#3fbf87', 'AFP_2': '#3fbf7c', 'AFT': '#3fbf92', 'AGA2': '#47bf3f', 'AGH': '#bf3f97', 'AGK_C': '#3fa2bf', 'AGL_N': '#3fbf51', 'AGOG': '#3fafbf', 'AGO_N': '#3fbf73', 'AGP': '#97bf3f', 'AGRB_N': '#3f5fbf', 'AGS_C': '#a3bf3f', 'AGT': '#bf523f', 'AGTRAP': '#bf3f62', 'AHD': '#3fbfaa', 'AHH': '#bf453f', 'AHJR-like': '#72bf3f', 'AHL_synthase': '#3fbfbe', 'AHSA1': '#3fb0bf', 'AHSP': '#3f67bf', 'AI-2E_transport': '#a7bf3f', 'AIB': '#bf3fa5', 'AICARFT_IMPCHas': '#3f57bf', 'AID': '#3fbf81', 'AIDA': '#4abf3f', 'AIF-MLS': '#3f68bf', 'AIF_C': '#3fbf8d', 'AIG1': '#3fa7bf', 'AIG2_2': '#bf3fa8', 'AIM24': '#bebf3f', 'AIM3': '#523fbf', 'AIM5': '#7e3fbf', 'AIMP2_LysRS_bd': '#643fbf', 'AIP3': '#bf3f7a', 'AIPR': '#3f8dbf', 'AIRC': '#76bf3f', 'AIRS': '#bf653f', 'AIRS_C': '#bf3f41', 'AJAP1_PANP_C': '#70bf3f', 'AKAP28': '#803fbf', 'AKAP2_C': '#a33fbf', 'AKAP7_NLS': '#bf3fbc', 'AKAP7_RIRII_bdg': '#70bf3f', 'AKAP95': '#4a3fbf', 'AKAP_110': '#3fbfba', 'AKNA': '#9dbf3f', 'ALAD': '#753fbf', 'ALF': '#bfbb3f', 'ALG11_N': '#bf653f', 'ALG3': '#bf3fb0', 'ALGX': '#bf963f', 'ALIX_LYPXL_bnd': '#80bf3f', 'ALKBH8_N': '#7bbf3f', 'ALMS_motif': '#543fbf', 'ALMS_repeat': '#b13fbf', 'ALMT': '#bf563f', 'ALO': '#a9bf3f', 'ALOG_dom': '#3fbfa7', 'ALP_N': '#bf7f3f', 'ALS2CR11': '#3fafbf', 'ALS2CR8': '#4a3fbf', 'ALS_ss_C': '#8cbf3f', 'ALTTAQ_rpt': '#a93fbf', 'AMA-1': '#bf4e3f', 'AMH_N': '#bf3fbd', 'AMIN': '#ba3fbf', 'AMMECR1': '#bfbe3f', 'AMNp_N': '#bf3f99', 'AMO': '#413fbf', 'AMOP': '#bf9f3f', 'AMP-binding': '#3fbf70', 'AMP-binding_C': '#bf7d3f', 'AMP-binding_C_2': '#bf703f', 'AMPK1_CBM': '#8dbf3f', 'AMPKBI': '#3fbfac', 'AMP_N': '#3fbf70', 'AMP_deaminase': '#b1bf3f', 'AMT4_dom_C': '#b73fbf', 'ANAPC1': '#3fa1bf', 'ANAPC10': '#bf3fb6', 'ANAPC15': '#3f99bf', 'ANAPC16': '#9e3fbf', 'ANAPC2': '#bf3f6c', 'ANAPC3': '#babf3f', 'ANAPC4': '#49bf3f', 'ANAPC4_WD40': '#bf3f91', 'ANAPC5': '#5ebf3f', 'ANAPC8': '#3f54bf', 'ANAPC9': '#783fbf', 'ANAPC_CDC26': '#3fbfbb', 'ANATO': '#3fbfb6', 'ANF_receptor': '#bfa53f', 'ANGEL2_N': '#76bf3f', 'ANIS5_cation-bd': '#bf3f94', 'ANKH': '#3fbf7e', 'ANP': '#98bf3f', 'ANT': '#60bf3f', 'ANTAR': '#bf3f8f', 'ANTH': '#b2bf3f', 'ANXA2R': '#4d3fbf', 'AOC_like': '#3f5dbf', 'AOX': '#bf3fb3', 'AP-5_subunit_s1': '#a3bf3f', 'AP1AR': '#3f45bf', 'AP2': '#3f9ebf', 'AP3B1_C': '#3f50bf', 'AP3D1': '#64bf3f', 'AP4E_app_platf': '#bf6d3f', 'APAF1_C': '#babf3f', 'APC1_C': '#5a3fbf', 'APCDDC': '#3f88bf', 'APC_15aa': '#bf663f', 'APC_N_CC': '#863fbf', 'APC_basic': '#49bf3f', 'APC_r': '#bf603f', 'APC_rep': '#3f9ebf', 'APC_u13': '#bf7a3f', 'APC_u14': '#6e3fbf', 'APC_u15': '#73bf3f', 'APC_u5': '#783fbf', 'APC_u9': '#613fbf', 'APEH_N': '#3fbf68', 'APG12': '#3fbbbf', 'APG5': '#3f4abf', 'APG6': '#3fadbf', 'APG6_N': '#bfae3f', 'APH': '#3f68bf', 'APH_6_hur': '#673fbf', 'API5': '#b7bf3f', 'APOBEC1': '#3f42bf', 'APOBEC2': '#4a3fbf', 'APOBEC3': '#3fbf75', 'APOBEC4': '#3fbf81', 'APOBEC4_like': '#bf3fba', 'APOBEC_C': '#3fbf5f', 'APOBEC_N': '#b8bf3f', 'APOC4': '#3f9ebf', 'APO_RNA-bind': '#3fbf87', 'APP1_cat': '#3f50bf', 'APP_Cu_bd': '#bc3fbf', 'APP_E2': '#bf3f44', 'APP_N': '#3fbf75', 'APP_amyloid': '#3fb5bf', 'APS-reductase_C': '#5d3fbf', 'APS_kinase': '#56bf3f', 'APT': '#3f50bf', 'AP_endonuc_2': '#bf3f4c', 'ARA70': '#bf6d3f', 'ARC6-like_IMS': '#3faabf', 'ARD': '#63bf3f', 'ARF7EP_C': '#b43fbf', 'ARGLU': '#3fbf53', 'ARHGEF5_35': '#3f4dbf', 'ARID': '#bf3f9d', 'ARL17': '#afbf3f', 'ARL2_Bind_BART': '#bf773f', 'ARL6IP6': '#4f3fbf', 'ARMET_C': '#60bf3f', 'ARMET_N': '#913fbf', 'ARMH2': '#bf5c3f', 'ARMH3_C': '#bf3f49', 'ARMH4': '#3fa2bf', 'ARMT1-like_dom': '#923fbf', 'AROS': '#3f88bf', 'ARPC4': '#3fbfa3', 'ARS2': '#bf4c3f', 'ART': '#7ebf3f', 'ART-PolyVal': '#64bf3f', 'ARTD15_N': '#3f8ebf', 'ASC': '#3f6abf', 'ASCH': '#92bf3f', 'ASD1': '#bf3f79', 'ASD2': '#bf853f', 'ASF1_hist_chap': '#3f79bf', 'ASFV_J13L': '#3f57bf', 'ASH': '#bf3f9c', 'ASK_PH': '#3f96bf', 'ASL_C': '#3fbfb0', 'ASL_C2': '#bf3f89', 'ASMase_C': '#bfa13f', 'ASPRs': '#5a3fbf', 'ASRT': '#3f9cbf', 'ASTER': '#3fbf8d', 'ASTN1_2_EGF_Fn': '#3f40bf', 'ASTN_1_2_N': '#92bf3f', 'ASTN_2_hairpin': '#3fbf76', 'ASXH': '#3fbf55', 'ASY3-like': '#3fbfa0', 'ATAD3_N': '#4dbf3f', 'ATAD4': '#713fbf', 'ATC_hydrolase': '#3fbf6d', 'ATE_C': '#83bf3f', 'ATE_N': '#5d3fbf', 'ATF7IP_BD': '#bfbb3f', 'ATG101': '#86bf3f', 'ATG11': '#bf7c3f', 'ATG13': '#bf623f', 'ATG14': '#bf6b3f', 'ATG16': '#bf933f', 'ATG17_like': '#bf4f3f', 'ATG19': '#3fbf56', 'ATG22': '#3fbf4d', 'ATG27': '#bf3f85', 'ATG29_N': '#bf3fa6', 'ATG2_CAD': '#5a3fbf', 'ATG31': '#bf4b3f', 'ATG43': '#bf3f57', 'ATG4_LIR': '#bf3f79', 'ATG7_N': '#3fbf70', 'ATG8': '#bf3fa9', 'ATG9': '#bf3f7f', 'ATG_C': '#3fbf6a', 'ATHILA': '#3fbf5c', 'ATLF': '#3fbf8c', 'ATP-cone': '#3f4dbf', 'ATP-grasp': '#7dbf3f', 'ATP-grasp_2': '#b23fbf', 'ATP-grasp_3': '#433fbf', 'ATP-grasp_4': '#55bf3f', 'ATP-grasp_5': '#3f7ebf', 'ATP-grasp_6': '#893fbf', 'ATP-gua_Ptrans': '#3fbf68', 'ATP-gua_PtransN': '#b2bf3f', 'ATP-sulfurylase': '#3f8abf', 'ATP-synt': '#bf3f4f', 'ATP-synt_10': '#3fbf76', 'ATP-synt_8': '#3f4bbf', 'ATP-synt_A': '#55bf3f', 'ATP-synt_B': '#3f9fbf', 'ATP-synt_C': '#3fbfba', 'ATP-synt_D': '#b8bf3f', 'ATP-synt_DE': '#bf3f57', 'ATP-synt_DE_N': '#bf703f', 'ATP-synt_E': '#3f93bf', 'ATP-synt_E_2': '#3fbfbb', 'ATP-synt_Eps': '#bf3f6c', 'ATP-synt_F': '#3fbf45', 'ATP-synt_F6': '#913fbf', 'ATP-synt_G': '#843fbf', 'ATP-synt_I': '#3fbfb5', 'ATP-synt_J': '#3fbf99', 'ATP-synt_Z': '#69bf3f', 'ATP-synt_ab': '#a7bf3f', 'ATP-synt_ab_C': '#6c3fbf', 'ATP-synt_ab_N': '#7bbf3f', 'ATP-synt_ab_Xtn': '#60bf3f', 'ATP11': '#bf3f58', 'ATP12': '#bf3f8b', 'ATP13': '#3f7bbf', 'ATP19': '#8dbf3f', 'ATP1G1_PLM_MAT8': '#3f8bbf', 'ATP_Ca_trans_C': '#bf3f4c', 'ATP_bind_1': '#783fbf', 'ATP_bind_2': '#3f4abf', 'ATP_bind_3': '#3f6abf', 'ATP_sub_h': '#923fbf', 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'cIII': '#3f98bf', 'cNMP_binding': '#6cbf3f', 'cNMPbd_u2': '#3f82bf', 'cPLA2_C2': '#bf3f60', 'cREC_REC': '#73bf3f', 'cobW': '#3fbf62', 'cpYpsA': '#7dbf3f', 'cwf18': '#3f91bf', 'cwf21': '#bf3f44', 'dATP-dGTP_PPHyd': '#bf3fa5', 'dCMP_cyt_deam_1': '#3f9cbf', 'dCMP_cyt_deam_2': '#3f47bf', 'dCache_1': '#9abf3f', 'dCache_2': '#3f82bf', 'dCache_3': '#64bf3f', 'dDENN': '#3fbf89', 'dGTP_diPhyd_N': '#bf3f85', 'dNK': '#673fbf', 'dTDP_sugar_isom': '#3f62bf', 'dUTPase': '#3f98bf', 'dUTPase_2': '#3f85bf', 'dbPDZ_assoc': '#3fb2bf', 'ddrB-ParB': '#bf3f4e', 'divDNAB': '#7dbf3f', 'dsDNA_bind': '#bf3f7f', 'dsRBD2': '#3f81bf', 'dsrm': '#973fbf', 'eIF-1a': '#3fbf70', 'eIF-3_zeta': '#a53fbf', 'eIF-3c_N': '#bf3f41', 'eIF-4B': '#3facbf', 'eIF-5_eIF-2B': '#bf9a3f', 'eIF-5a': '#4fbf3f', 'eIF-6': '#a83fbf', 'eIF2A': '#a93fbf', 'eIF2_C': '#753fbf', 'eIF3_N': '#3fbf79', 'eIF3_p135': '#bfa43f', 'eIF3_subunit': '#bf7a3f', 'eIF3g': '#bf3f8c', 'eIF3h_C': '#bf633f', 'eIF3m_C_helix': '#953fbf', 'eIF_4EBP': '#bc3fbf', 'eIF_4G1': '#bf993f', 'eRF1_1': '#3fbf58', 'eRF1_2': '#7b3fbf', 'eRF1_3': '#bbbf3f', 'ecTbetaR2': '#843fbf', 'efThoc1': '#bfb03f', 'efb-c': '#3f43bf', 'fn1': '#bf7c3f', 'fn2': '#3f7ebf', 'fn3': '#bf3f85', 'fn3_2': '#3f99bf', 'fn3_3': '#55bf3f', 'fn3_4': '#3fbf90', 'fn3_5': '#3fbfac', 'fn3_6': '#59bf3f', 'fn3_PAP': '#7ebf3f', 'fvmJAB_N': '#3f7fbf', 'fvmRadSAM-pep': '#3f6bbf', 'fvmX1': '#bf7f3f', 'fvmX2': '#a23fbf', 'fvmX3': '#a03fbf', 'fvmX3-analog': '#bf3f63', 'fvmX5': '#bf3f52', 'fvmX6': '#bf3f69', 'fvmX7': '#bf6d3f', 'fvmYukDl_N': '#8fbf3f', 'gag-asp_proteas': '#bf3fae', 'gag_pre-integrs': '#3f71bf', 'gerPA': '#44bf3f', 'gp32': '#bf713f', 'gp37_C': '#bf3f57', 'gp45-slide_C': '#3fbf44', 'gpD': '#8abf3f', 'gpW': '#bf3fb1', 'hDGE_amylase': '#3fbfa3', 'hEGF': '#bf3f82', 'hGDE_N': '#a53fbf', 'hGDE_central': '#3fbf93', 'hNIFK_binding': '#bf573f', 'hSH3': '#bf3fb9', 'hSac2': '#6e3fbf', 'hemP': '#3fbf82', 'hnRNP_Q_AcD': '#3f40bf', 'iPGM_N': '#3fbfb5', 'iSTAND': '#bf3fad', 'ig': '#473fbf', 'ivWA': '#3fb5bf', 'ivWA-helical_N': '#bf9f3f', 'ketoacyl-synt': '#bf3f9a', 'kleA_kleC': '#3fbbbf', 'lci': '#bf3fa9', 'mCpol': '#3fbf85', 'mIF3': '#a3bf3f', 'mRNA_cap_C': '#bf7c3f', 'mRNA_cap_enzyme': '#60bf3f', 'mRNA_decap_C': '#bf3f54', 'mRNA_stabil': '#3fb2bf', 'mRNA_triPase': '#bf493f', 'mTERF': '#bf3f91', 'malic': '#bfa13f', 'mit_SMPDase': '#89bf3f', 'mono-CXXC': '#3f76bf', 'muHD': '#3fbfac', 'nec1': '#3fbfb5', 'nlz1': '#5a3fbf', 'nos_propeller': '#3fbf3f', 'nos_propeller_2': '#3f77bf', 'oligo_HPY': '#3fbf53', 'ox_reductase_C': '#3f6abf', 'p25-alpha': '#743fbf', 'p31comet': '#bf3fb0', 'p450': '#ab3fbf', 'p47_phox_C': '#3f43bf', 'p53-inducible11': '#bf4c3f', 'pATOM36': '#3f87bf', 'pAdhesive_10': '#bf883f', 'pAdhesive_11': '#3f51bf', 'pAdhesive_15': '#3f76bf', 'pAdhesive_17': '#3f53bf', 'pAdhesive_6': '#bf3f74', 'pAdhesive_8': '#bf3f86', 'pEK499_p136': '#3f74bf', 'pKID': '#bfb43f', 'pNTSase1': '#3fbfa0', 'pPIWI_RE_REase': '#3f62bf', 'pPIWI_RE_X': '#bf3f82', 'pPIWI_RE_Y': '#bf3f40', 'pPIWI_RE_Z': '#bf3fb6', 'pP_pnuc_1': '#3fbf42', 'pP_pnuc_2': '#83bf3f', 'pRN1_helical': '#923fbf', 'pXO2-34': '#3f4bbf', 'pXO2-72': '#bf513f', 'pYEATS': '#bf3f49', 'partial_CstF': '#7d3fbf', 'peroxidase': '#bf7a3f', 'phage_tail_N': '#3fbf9b', 'phiKZ_IP': '#bf3f49', 'polyprenyl_synt': '#3fbf98', 'potato_inhibit': '#613fbf', 'preATP-grasp_3': '#3fbfa9', 'preSET_CXC': '#bf3f86', 'prok_STING': '#3f51bf', 'protein_MS5': '#3f5dbf', 'ptaRNA1_toxin': '#bf3fa3', 'putAbiC': '#bf433f', 'rOmpB': '#3fbfa9', 'rRNA_methylase': '#3f45bf', 'rRNA_proc-arch': '#603fbf', 'rRNA_processing': '#7ebf3f', 'rhaM': '#94bf3f', 'ribosomal_L24': '#a1bf3f', 'rve': '#bf713f', 'rve_2': '#bdbf3f', 'rve_3': '#bf933f', 's48_45': '#b8bf3f', 'sCache_2': '#3fbfba', 'sCache_3_2': '#bf7d3f', 'sCache_3_3': '#3fbf96', 'sCache_4': '#72bf3f', 'sCache_like': '#ab3fbf', 'ssDBP': '#bf3f6e', 'ssDBP_DBD': '#bf9d3f', 'ssDNA-exonuc_C': '#803fbf', 'ssDNA_DBD': '#7ebf3f', 'ssDNA_TraI_N': '#523fbf', 'stn_TNFRSF12A': '#50bf3f', 'tPilZ': '#a9bf3f', 'tRNA-Thr_ED': '#bfbc3f', 'tRNA-synt_1': '#3f7bbf', 'tRNA-synt_1_2': '#bf3f65', 'tRNA-synt_1b': '#bf403f', 'tRNA-synt_1c': '#95bf3f', 'tRNA-synt_1c_C': '#bf3f6f', 'tRNA-synt_1d': '#433fbf', 'tRNA-synt_1e': '#713fbf', 'tRNA-synt_1f': '#bf3f46', 'tRNA-synt_1g': '#3f7fbf', 'tRNA-synt_2': '#463fbf', 'tRNA-synt_2_TM': '#bf3fa0', 'tRNA-synt_2b': '#bd3fbf', 'tRNA-synt_2c': '#bf3fa8', 'tRNA-synt_2d': '#3fbbbf', 'tRNA-synt_2e': '#3fbf61', 'tRNA-synt_His': '#3f8bbf', 'tRNA_Me_trans': '#863fbf', 'tRNA_Me_trans_C': '#3fbfb6', 'tRNA_Me_trans_M': '#bfb33f', 'tRNA_NucTran2_2': '#bf543f', 'tRNA_NucTransf2': '#3fbf9b', 'tRNA_SAD': '#3f7bbf', 'tRNA_U5-meth_tr': '#3f9ebf', 'tRNA_anti-codon': '#bf3fa5', 'tRNA_anti-like': '#3fafbf', 'tRNA_anti_2': '#bf3f69', 'tRNA_bind': '#463fbf', 'tRNA_bind_2': '#553fbf', 'tRNA_bind_3': '#713fbf', 'tRNA_bind_4': '#bebf3f', 'tRNA_deacylase': '#3fbf56', 'tRNA_edit': '#bf3fad', 'tRNA_int_end_N2': '#3f81bf', 'tRNA_int_endo': '#3fbfba', 'tRNA_int_endo_N': '#ae3fbf', 'tRNA_lig_CPD': '#bf3f4b', 'tRNA_lig_kinase': '#bfad3f', 'tRNA_m1G_MT': '#923fbf', 'tRNA_synt_1c_R1': '#bf3f48', 'tRNA_synt_1c_R2': '#bf3f48', 'tRNA_synt_2f': '#73bf3f', 'tRNA_synthFbeta': '#bfb43f', 'tify': '#bf873f', 'uDENN': '#3f87bf', 'ubiquitin': '#42bf3f', 'vATP-synt_AC39': '#bf3fb6', 'vATP-synt_E': '#753fbf', 'vMSA': '#bf3f60', 'vWA-TerF-like': '#3fbf4b', 'vWF_A': '#783fbf', 'wnt': '#bf433f', 'xRRM': '#3f81bf', 'ydhR': '#bf3f75', 'z-alpha': '#58bf3f', 'zf-3CxxC': '#843fbf', 'zf-3CxxC_2': '#3fbf5f', 'zf-4CXXC_R1': '#973fbf', 'zf-A20': '#a0bf3f', 'zf-ACC': '#3fbf45', 'zf-AD': '#bfb33f', 'zf-AN1': '#bf3f71', 'zf-ANAPC11': '#83bf3f', 'zf-BED': '#bf6b3f', 'zf-B_box': '#bf9f3f', 'zf-C2H2': '#3fbf62', 'zf-C2H2_10': '#3f8bbf', 'zf-C2H2_11': '#9a3fbf', 'zf-C2H2_12': '#bf523f', 'zf-C2H2_2': '#bf3f4b', 'zf-C2H2_3': '#aabf3f', 'zf-C2H2_3rep': '#bf463f', 'zf-C2H2_4': '#bf3f5d', 'zf-C2H2_6': '#bf703f', 'zf-C2H2_7': '#bf3f44', 'zf-C2H2_8': '#3fbf67', 'zf-C2H2_9': '#9a3fbf', 'zf-C2H2_aberr': '#783fbf', 'zf-C2H2_assoc': '#bf523f', 'zf-C2H2_assoc2': '#a83fbf', 'zf-C2H2_assoc3': '#bf3f5a', 'zf-C2H2_jaz': '#3fbfb0', 'zf-C2HC': '#bf3fb9', 'zf-C2HC5': '#bfb73f', 'zf-C2HCIx2C': '#bf3fa9', 'zf-C2HC_2': '#3f8ebf', 'zf-C2HE': '#613fbf', 'zf-C3H1': '#3fbf9b', 'zf-C3H2C3': '#3fbf44', 'zf-C3HC': '#5e3fbf', 'zf-C3HC4': '#56bf3f', 'zf-C3HC4_2': '#a7bf3f', 'zf-C3HC4_3': '#89bf3f', 'zf-C3HC4_4': '#3f5dbf', 'zf-C3HC4_5': '#3fb0bf', 'zf-C3Hc3H': '#bf3f58', 'zf-C4': '#663fbf', 'zf-C4H2': '#bf9a3f', 'zf-C4_ClpX': '#3f5fbf', 'zf-C4_Topoisom': '#3f76bf', 'zf-C4pol': '#7a3fbf', 'zf-C5HC2': '#bfb93f', 'zf-C6H2': '#3fbf7c', 'zf-CCCH': '#3fbf65', 'zf-CCCH_2': '#b73fbf', 'zf-CCCH_3': '#bf6e3f', 'zf-CCCH_4': '#bf3f6e', 'zf-CCCH_6': '#3f99bf', 'zf-CCCH_8': '#3fbf5f', 'zf-CCHC': '#bf3f72', 'zf-CCHC_2': '#bf973f', 'zf-CCHC_3': '#bf3f51', 'zf-CCHC_4': '#3fa8bf', 'zf-CCHC_5': '#bf713f', 'zf-CCHC_6': '#bf683f', 'zf-CCHH': '#3fbfa6', 'zf-CDGSH': '#3f42bf', 'zf-CGNR': '#713fbf', 'zf-CHC2': '#3fbf4d', 'zf-CHCC': '#3f87bf', 'zf-CHY': '#3f54bf', 'zf-CRD': '#bf763f', 'zf-CSL': '#3fbf8f', 'zf-CW': '#89bf3f', 'zf-CXXC': '#bf683f', 'zf-DBF': '#6abf3f', 'zf-DNA_Pol': '#63bf3f', 'zf-DNL': '#3f59bf', 'zf-Di19': '#3fa1bf', 'zf-Dof': '#3fbfa4', 'zf-FCS': '#babf3f', 'zf-FLZ': '#3f99bf', 'zf-FPG_IleRS': '#a33fbf', 'zf-GRF': '#bf3f57', 'zf-H2C2': '#3fbfb5', 'zf-H2C2_2': '#a93fbf', 'zf-H2C2_5': '#3f40bf', 'zf-H3C2': '#3fbfa3', 'zf-HC2': '#bf7f3f', 'zf-HC3': '#5a3fbf', 'zf-HC5HC2H': '#bf773f', 'zf-HC5HC2H_2': '#3fbf87', 'zf-HIT': '#3f68bf', 'zf-HYPF': '#3f79bf', 'zf-His_Me_endon': '#3f82bf', 'zf-IS66': '#3fbf48', 'zf-ISL3': '#bf833f', 'zf-LITAF-like': '#3fbf7f', 'zf-LSD1': '#bf663f', 'zf-LYAR': '#3fa1bf', 'zf-MIZ': '#3fbfa4', 'zf-MYND': '#bf3f4c', 'zf-MYST': '#bf3f68', 'zf-Mss51': '#bf3f75', 'zf-NADH-PPase': '#5d3fbf', 'zf-NF-X1': '#3f50bf', 'zf-NOSIP': '#3fa5bf', 'zf-NPL4': '#3f7fbf', 'zf-Nse': '#543fbf', 'zf-PARP': '#bf3f4f', 'zf-PHD-like': '#3f90bf', 'zf-RAG1': '#73bf3f', 'zf-RING-like': '#3f90bf', 'zf-RING_10': '#bf3fba', 'zf-RING_11': '#4abf3f', 'zf-RING_12': '#bf3fa3', 'zf-RING_14': '#3fb3bf', 'zf-RING_15': '#3f64bf', 'zf-RING_16': '#3f4abf', 'zf-RING_2': '#3f9ebf', 'zf-RING_4': '#3f57bf', 'zf-RING_5': '#bf3f6f', 'zf-RING_6': '#8c3fbf', 'zf-RING_7': '#bf833f', 'zf-RING_9': '#3f85bf', 'zf-RING_UBOX': '#7dbf3f', 'zf-RNPHF': '#86bf3f', 'zf-RRN7': '#3f59bf', 'zf-RRPl_C4': '#bf8b3f', 'zf-RVT': '#78bf3f', 'zf-RanBP': '#b1bf3f', 'zf-SAP30': '#bf3f6b', 'zf-SCNM1': '#3fbf90', 'zf-Sec23_Sec24': '#3f7bbf', 'zf-TAZ': '#3fb3bf', 'zf-TFIIB': '#bf3f96', 'zf-TFIIIC': '#3fbf58', 'zf-TRAF': '#89bf3f', 'zf-TRAF_2': '#3fbf55', 'zf-TRM13_CCCH': '#863fbf', 'zf-Tim10_DDP': '#53bf3f', 'zf-U1': '#bf3f96', 'zf-U11-48K': '#3f95bf', 'zf-UBP': '#3fbf5f', 'zf-UBP_var': '#3fbf76', 'zf-UBR': '#bf883f', 'zf-UDP': '#3f74bf', 'zf-WRNIP1_ubi': '#3f50bf', 'zf-XS': '#3fbf7f', 'zf-ZPR1': '#a63fbf', 'zf-dskA_traR': '#4f3fbf', 'zf-like': '#bfae3f', 'zf-met': '#3f85bf', 'zf-met2': '#bf3fa6', 'zf-nanos': '#bf6b3f', 'zf-piccolo': '#3f87bf', 'zf-primase': '#3fbf7c', 'zf-rbx1': '#3fbf50', 'zf-ribbon_3': '#3f99bf', 'zf-tcix': '#bf633f', 'zf-trcl': '#9abf3f', 'zf_C2H2_10': '#bf513f', 'zf_C2H2_13': '#bf3f48', 'zf_C2H2_6': '#6fbf3f', 'zf_C2H2_ZHX': '#bf3f58', 'zf_C2HC_14': '#3f51bf', 'zf_CCCH_4': '#3fb8bf', 'zf_CCCH_5': '#6e3fbf', 'zf_CopZ': '#bf3f9a', 'zf_Hakai': '#bf3f91', 'zf_PR_Knuckle': '#bf5f3f', 'zf_Rg': '#bf3fbc', 'zf_UBZ': '#3fbf5b', 'zf_ZIC': '#bf633f', 'zinc-ribbon_6': '#953fbf', 'zinc-ribbons_6': '#a4bf3f', 'zinc_ribbon_10': '#3fbf85', 'zinc_ribbon_11': '#56bf3f', 'zinc_ribbon_12': '#bf663f', 'zinc_ribbon_13': '#3fbf92', 'zinc_ribbon_15': '#7a3fbf', 'zinc_ribbon_16': '#bf943f', 'zinc_ribbon_2': '#a83fbf', 'zinc_ribbon_4': '#bf3f66', 'zinc_ribbon_5': '#9bbf3f', 'zinc_ribbon_6': '#bf3f79', 'zinc_ribbon_9': '#3f90bf', 'zn-ribbon_14': '#3f4dbf'}, column=20, *args, **kwargs)

class LayoutProteinName(prop='prot_name', name='Protein name', pos='aligned', column=4, color='gray', *args, **kwargs)

__init__(prop='prot_name', name='Protein name', pos='aligned', column=4, color='gray', *args, **kwargs)

class LayoutScientificName(prop='sci_name', name='Scientific name', pos='branch_right', column=2, color='black', *args, **kwargs)

__init__(prop='sci_name', name='Scientific name', pos='branch_right', column=2, color='black', *args, **kwargs)

class LayoutSmartDomains(prop='smart', name='Smart domains', colormap={'14_3_3': '#bf8b3f', '35EXOc': '#3f5ebf', '4.1m': '#bf943f', '53EXOc': '#3fbf5a', '6PGD': '#3fbf5a', '7TM_GPCR_Srsx': '#3fbf9a', 'A1pp': '#b1bf3f', 'A2M': '#3f6abf', 'A2M_N_2': '#3f60bf', 'A2M_recep': '#3f87bf', 'A4_EXTRA': '#89bf3f', 'AAA': '#533fbf', 'AAA_PrkA': '#bf533f', 'AAI': '#3f7abf', 'AARP2CN': '#3fbf96', 'ACR': '#76bf3f', 'ACTH_domain': '#bf443f', 'ACTIN': '#3fbfb3', 'AD': '#3fbfa2', 'ADEAMc': '#3f9abf', 'ADF': '#bf3f92', 'ADSL_C': '#733fbf', 'AFOR_N': '#3f75bf', 'AGTRAP': '#bf713f', 'AHS1': '#bf473f', 'AHS2': '#3f9bbf', 'AICARFT_IMPCHas': '#3f8cbf', 'AIF_C': '#bf3f62', 'AIP3': '#bf3fb8', 'AIRC': '#bf463f', 'AKAP_110': '#3fbf69', 'ALAD': '#9c3fbf', 'ALBUMIN': '#bf843f', 'AMA-1': '#3f95bf', 'AMOP': '#3fb8bf', 'AMPKBI': '#3fbf9c', 'AMP_N': '#623fbf', 'ANATO': '#b6bf3f', 'ANK': '#bdbf3f', 'ANTAR': '#b9bf3f', 'ANX': '#bf3fa9', 'AP2': '#3fbf4f', 'AP2Ec': '#3fbfbe', 'AP3B1_C': '#bf3f6b', 'AP4E_app_platf': '#3f58bf', 'APC10': '#3fbf96', 'APC2': '#ad3fbf', 'APCDDC': '#bf9a3f', 'APPLE': '#8d3fbf', 'ARF': '#993fbf', 'ARID': '#bfae3f', 'ARM': '#bfbd3f', 'ASCH': '#a6bf3f', 'AT_hook': '#97bf3f', 'AWS': '#bf443f', 'AXH': '#3fabbf', 'A_amylase_inhib': '#3fbfb6', 'Aamy': '#58bf3f', 'Aamy_C': '#bf833f', 'Ad_cyc_g-alpha': '#3fbf48', 'Adenylsucc_synt': '#3f4dbf', 'AdoHcyase': '#abbf3f', 'AdoHcyase_NAD': '#3fbf55', 'Aerolysin': '#3f46bf', 'Agenet': '#3fa4bf', 'Agglutinin': '#bb3fbf', 'Agouti': '#3fbebf', 'AgrB': '#bf3f4a', 'AgrD': '#3fbf7a', 'Agro_virD5': '#3fbf43', 'Aha1_N': '#3fbf7c', 'AlaDh_PNT_C': '#5fbf3f', 'AlaDh_PNT_N': '#b6bf3f', 'Ala_racemase_C': '#88bf3f', 'AlcB': '#bf8f3f', 'Ald_Xan_dh_C': '#bf3f7c', 'Aldolase_II': '#bf3fb3', 'AlkA_N': '#bf843f', 'Alpha-L-AF_C': '#bf503f', 'Alpha-amyl_C2': '#793fbf', 'Alpha-mann_mid': '#3f89bf', 'Alpha_L_fucos': '#a2bf3f', 'Alpha_adaptinC2': '#bf5a3f', 'Alpha_kinase': '#bf3f67', 'Amb_all': '#bf3f45', 'Amelin': '#bf633f', 'Amelogenin': '#3fbf9a', 'Ami_2': '#bf3f96', 'Ami_3': '#bf3f9b', 'Antimicrobial21': '#bf9e3f', 'AraC_E_bind': '#bf3f5f', 'Arch1': '#563fbf', 'Arch2': '#923fbf', 'ArfGap': '#bf4d3f', 'Arfaptin': '#3fa1bf', 'Arg_tRNA_synt_N': '#b6bf3f', 'Arrestin_C': '#43bf3f', 'Asparaginase': '#3fbfa7', 'Aspzincin_M35': '#513fbf', 'Autotransporter': '#3fbf60', 'B12-binding_2': '#bf3f98', 'B2-adapt-app_C': '#bf7d3f', 'B3': '#bf953f', 'B3_4': '#3fbf9d', 'B41': '#3f56bf', 'B5': '#7e3fbf', 'B561': '#62bf3f', 'BACK': '#6ebf3f', 'BAF': '#983fbf', 'BAG': '#3f77bf', 'BAH': '#3f61bf', 'BAR': '#3fbfa0', 'BASIC': '#a8bf3f', 'BATS': '#bf3f73', 'BBC': '#a63fbf', 'BBOX': '#b63fbf', 'BC10': '#bf3f93', 'BCL': '#bf473f', 'BCS1_N': '#b33fbf', 'BEN': '#bf3fb0', 'BH4': '#3fbfa5', 'BHD_1': '#7abf3f', 'BHD_2': '#77bf3f', 'BHD_3': '#3f81bf', 'BHL': '#41bf3f', 'BID_1': '#bf3f99', 'BID_2': '#3fbf90', 'BING4CT': '#3fbf6c', 'BIR': '#bf8f3f', 'BLUF': '#85bf3f', 'BLVR': '#85bf3f', 'BMC': '#77bf3f', 'BON': '#3fbfb3', 'BOP1NT': '#3fbf6c', 'BP28CT': '#bf4d3f', 'BPI1': '#3f97bf', 'BPI2': '#bf3f79', 'BRCT': '#3f44bf', 'BRICHOS': '#3fbf63', 'BRIGHT': '#bf673f', 'BRK': '#3fbfa8', 'BRLZ': '#3f46bf', 'BRO1': '#3fbfb1', 'BROMO': '#bfb83f', 'BSD': '#79bf3f', 'BTAD': '#3fbf68', 'BTB': '#bf7e3f', 'BTD': '#bf3f8d', 'BTK': '#bf3f74', 'BTP': '#3fbfa7', 'BURP': '#55bf3f', 'B_lectin': '#65bf3f', 'Bac_DnaA_C': '#bf3fac', 'Bac_rhodopsin': '#6bbf3f', 'Beach': '#823fbf', 'Bet_v_1': '#583fbf', 'Beta-Casp': '#3f69bf', 'Beta-TrCP_D': '#bf493f', 'BetaGal_dom2': '#3f92bf', 'Bgal_small_N': '#3f60bf', 'Biotin_carb_C': '#3fbf69', 'BowB': '#b63fbf', 'Brix': '#3f77bf', 'Bro-N': '#3f91bf', 'Brr6_like_C_C': '#bfa93f', 'Btz': '#3f7dbf', 'C1': '#3fbf62', 'C1Q': '#3fbfaa', 'C1_4': '#bd3fbf', 'C2': '#6cbf3f', 'C345C': '#48bf3f', 'C4': '#aabf3f', 'C6': '#883fbf', 'C8': '#7cbf3f', 'CA': '#883fbf', 'CAD': '#9cbf3f', 'CADG': '#9fbf3f', 'CALCITONIN': '#3fbf5a', 'CAMSAP_CKK': '#b23fbf', 'CAP10': '#3fbf71', 'CAP_GLY': '#3f92bf', 'CARD': '#3fbf7d', 'CARP': '#bf633f', 'CASH': '#873fbf', 'CASc': '#a13fbf', 'CAT': '#bf603f', 'CAT_RBD': '#8c3fbf', 'CBD_II': '#6b3fbf', 'CBD_IV': '#3fabbf', 'CBF': '#3fbf9d', 'CBM49': '#bf3f78', 'CBM_10': '#b63fbf', 'CBM_2': '#3f77bf', 'CBM_25': '#bf8c3f', 'CBM_3': '#3f55bf', 'CBM_X': '#bf8b3f', 'CBS': '#3f98bf', 'CCP': '#3fbf73', 'CDC37_C': '#513fbf', 'CDC37_M': '#76bf3f', 'CDC37_N': '#b3bf3f', 'CDC48_2': '#bf9a3f', 'CDC48_N': '#bf863f', 'CDT1': '#3fb1bf', 'CENPB': '#bf3f5e', 'CFEM': '#bf3fb0', 'CG-1': '#3f67bf', 'CGGC': '#3f75bf', 'CH': '#813fbf', 'CHAD': '#bf6a3f', 'CHASE': '#3fafbf', 'CHASE2': '#3f55bf', 'CHB_HEX': '#3f7bbf', 'CHK': '#bf443f', 'CHRD': '#bf3fb2', 'CHROMO': '#3fbfbe', 'CHZ': '#bf3f9b', 'CIMR': '#bf5e3f', 'CKS': '#bfb73f', 'CK_II_beta': '#bf3f4a', 'CLECT': '#46bf3f', 'CLH': '#763fbf', 'CLIP': '#bf3f96', 'CLa': '#3fbabf', 'CLb': '#48bf3f', 'CM_2': '#bf3f85', 'CNH': '#823fbf', 'CNX': '#bf3f5e', 'COG6': '#5e3fbf', 'COLFI': '#bf3f7e', 'COLIPASE': '#bfa33f', 'CO_deh_flav_C': '#bf3f81', 'CP12': '#3fb5bf', 'CPDc': '#7f3fbf', 'CPSF73-100_C': '#3fbf6c', 'CPSase_L_D3': '#babf3f', 'CPSase_sm_chain': '#3fbf93', 'CPW_WPC': '#3f4dbf', 'CRA': '#3fbfb0', 'CRAL_TRIO_N': '#3f98bf', 'CRF': '#3f94bf', 'CRISPR_assoc': '#903fbf', 'CRM1_C': '#6b3fbf', 'CRS1_YhbY': '#6a3fbf', 'CSF2': '#88bf3f', 'CSP': '#bf773f', 'CT': '#bf3fbb', 'CTD': '#3fb2bf', 'CTLH': '#9dbf3f', 'CTNS': '#3fb1bf', 'CUB': '#3f4fbf', 'CUE': '#853fbf', 'CULLIN': '#3fbfad', 'CUT': '#3f7ebf', 'CVNH': '#80bf3f', 'CW': '#3fbf68', 'CXC': '#58bf3f', 'CY': '#b93fbf', 'CYCLIN': '#4cbf3f', 'CYCc': '#bf533f', 'CYTH': '#bf3f70', 'CaMBD': '#763fbf', 'CaM_binding': '#3f75bf', 'Ca_chan_IQ': '#5fbf3f', 'Cache_2': '#bf893f', 'CactinC_cactus': '#3f91bf', 'Cadherin_pro': '#7dbf3f', 'Calx_beta': '#bf6f3f', 'Candida_ALS_N': '#3fbf7a', 'CarD_TRCF': '#bfaf3f', 'Carb_anhydrase': '#3fbf82', 'Catalase': '#bf603f', 'Cation_ATPase_N': '#b63fbf', 'Cdc6_C': '#bf8e3f', 'Cg6151-P': '#bf3f71', 'ChSh': '#bf3f8d', 'ChW': '#813fbf', 'CheW': '#623fbf', 'ChtBD1': '#68bf3f', 'ChtBD2': '#bf8b3f', 'ChtBD3': '#3f77bf', 'Cir_N': '#b63fbf', 'Citrate_ly_lig': '#bfab3f', 'ClpB_D2-small': '#bfa93f', 'CoA_binding': '#93bf3f', 'CoA_trans': '#bfa03f', 'CobW_C': '#bf773f', 'Cog4': '#bf603f', 'Col_cuticle_N': '#bfa63f', 'Connexin_CCC': '#3fbf59', 'Copper-fist': '#af3fbf', 'CorC_HlyC': '#bf3f56', 'Cornichon': '#3fbf66', 'Costars': '#54bf3f', 'CpcD': '#3fbfa2', 'Cpl-7': '#3fbf79', 'Cpn10': '#3fbf43', 'Cu_FIST': '#bb3fbf', 'Cullin_Nedd8': '#bf3f5c', 'Cupin_1': '#aa3fbf', 'Cutinase': '#3fa3bf', 'CxxC_CXXC_SSSS': '#3fbf65', 'Cyan': '#bf3f73', 'Cyanate_lyase': '#bf633f', 'Cyclin_C': '#bf893f', 'CysPc': '#bf493f', 'Cyt-b5': '#bfa83f', 'D-ser_dehydrat': '#3fb4bf', 'D5_N': '#3f73bf', 'DAGKa': '#a93fbf', 'DAGKc': '#3f9dbf', 'DALR_1': '#9abf3f', 'DALR_2': '#bf633f', 'DAX': '#563fbf', 'DBB': '#613fbf', 'DBC1': '#bf553f', 'DBP10CT': '#4fbf3f', 'DBR1': '#69bf3f', 'DCD': '#3f97bf', 'DCP2': '#3fbfa8', 'DCX': '#4d3fbf', 'DDE_1': '#88bf3f', 'DDE_2': '#b83fbf', 'DDE_3': '#3fbf5a', 'DDE_5': '#3f50bf', 'DDE_Tnp_1': '#57bf3f', 'DDE_Tnp_1_2': '#3f52bf', 'DDE_Tnp_1_3': '#3facbf', 'DDE_Tnp_1_4': '#bf3f85', 'DDE_Tnp_1_5': '#3f47bf', 'DDE_Tnp_1_6': '#b4bf3f', 'DDE_Tnp_1_7': '#bf3f70', 'DDE_Tnp_2': '#bf3f9b', 'DDE_Tnp_4': '#3fbf90', 'DDE_Tnp_IS1': '#ac3fbf', 'DDE_Tnp_IS1595': '#3f49bf', 'DDE_Tnp_IS240': '#3f9ebf', 'DDE_Tnp_IS66': '#bf3f5e', 'DDE_Tnp_ISAZ013': '#5f3fbf', 'DDE_Tnp_ISL3': '#bf943f', 'DDE_Tnp_Tn3': '#bf3f48', 'DDHD': '#3fbfb0', 'DDRGK': '#3fbf42', 'DDT': '#653fbf', 'DEATH': '#763fbf', 'DED': '#3f50bf', 'DEDD_Tnp_IS110': '#bf583f', 'DEFSN': '#3fbf4b', 'DELLA': '#3f6abf', 'DENN': '#b53fbf', 'DEP': '#3f7abf', 'DEXDc': '#3f89bf', 'DHDPS': '#bfbd3f', 'DHHA2': '#82bf3f', 'DIL': '#bf5b3f', 'DIM1': '#3fbf71', 'DIRP': '#6b3fbf', 'DISIN': '#9b3fbf', 'DKCLD': '#3f56bf', 'DM': '#733fbf', 'DM10': '#3fbfbe', 'DM11': '#883fbf', 'DM13': '#3fbf73', 'DM14': '#b03fbf', 'DM15': '#bf3f44', 'DM16': '#bf3fa4', 'DM3': '#bf3f87', 'DM4_12': '#bf3f45', 'DM5': '#5dbf3f', 'DM6': '#7c3fbf', 'DM7': '#9abf3f', 'DM8': '#bf5e3f', 'DM9': '#bf3f65', 'DMAP_binding': '#3f50bf', 'DNA_mis_repair': '#3fbf7f', 'DNaseIc': '#79bf3f', 'DP': '#41bf3f', 'DPBB_1': '#3fbfb1', 'DRY_EERY': '#3f86bf', 'DSHCT': '#3f8abf', 'DSL': '#3fbfa4', 'DSPc': '#bf3f8d', 'DSRM': '#3fbfa7', 'DSS1_SEM1': '#ac3fbf', 'DSX_dimer': '#3fb5bf', 'DTW': '#3fbf49', 'DUF1041': '#bf3fb0', 'DUF106': '#bf3f61', 'DUF1086': '#b3bf3f', 'DUF1087': '#3f6abf', 'DUF1220': '#3fbf62', 'DUF1237': '#85bf3f', 'DUF1338': '#bf3f6e', 'DUF1518': '#b7bf3f', 'DUF167': '#3f80bf', 'DUF1693': '#3fbf91', 'DUF1704': '#bfaf3f', 'DUF1713': '#bf8f3f', 'DUF1716': '#3fbf66', 'DUF1719': '#be3fbf', 'DUF1741': '#9e3fbf', 'DUF1744': '#bf3f9e', 'DUF1751': '#653fbf', 'DUF1767': '#bf9a3f', 'DUF1771': '#3fbf51', 'DUF1785': '#bf3f70', 'DUF1856': '#3f84bf', 'DUF1866': '#94bf3f', 'DUF1899': '#3fbfa4', 'DUF1900': '#3f6cbf', 'DUF1907': '#bf583f', 'DUF1943': '#bf713f', 'DUF1944': '#3fbfbc', 'DUF3160': '#3fbf55', 'DUF3385': '#3f77bf', 'DUF3402': '#bfb43f', 'DUF3452': '#bfa13f', 'DUF3454': '#bfac3f', 'DUF3480': '#3f52bf', 'DUF3585': '#3fbf60', 'DUF3635': '#3fbf51', 'DUF3700': '#3fbf85', 'DUF4187': '#a13fbf', 'DUF4205': '#bf463f', 'DUF4206': '#bf3fbc', 'DUF4208': '#3fbf66', 'DUF4210': '#bf6c3f', 'DUF4217': '#bf4d3f', 'DUF663': '#bf3fbc', 'DUF862': '#a3bf3f', 'DUSP': '#b4bf3f', 'DWA': '#bf723f', 'DWB': '#3f9ebf', 'DWNN': '#3fbf57', 'DYNc': '#bfa83f', 'DZF': '#b9bf3f', 'Dabb': '#3f44bf', 'Dak1_2': '#bf3f4e', 'Dak2': '#3f86bf', 'Defensin_propep': '#bf3f47', 'DeoC': '#3fbfb6', 'DeoRC': '#66bf3f', 'DnaG_DnaB_bind': '#bf663f', 'DnaJ': '#3fb8bf', 'DoH': '#a5bf3f', 'Drf_FH3': '#3fbf97', 'Drf_GBD': '#3fabbf', 'Dynein_light': '#aa3fbf', 'DysFC': '#b0bf3f', 'DysFN': '#3fa7bf', 'E2F_TDP': '#3fbf7a', 'E2_bind': '#853fbf', 'EAL': '#bf843f', 'EB_dh': '#57bf3f', 'ECSIT_Cterm': '#3fbfb7', 'EF-1_beta_acid': '#3fbf8e', 'EF1G': '#bf3f5f', 'EF1_GNE': '#bf3f84', 'EFG_C': '#3f49bf', 'EFG_IV': '#bf3f6b', 'EFP': '#bf693f', 'EFh': '#753fbf', 'EGF': '#90bf3f', 'EGF_CA': '#8c3fbf', 'EGF_Lam': '#6ebf3f', 'EGF_like': '#a8bf3f', 'EH': '#6ebf3f', 'EKR': '#3fb2bf', 'ELFV_dehydrog': '#bf3f8a', 'ELK': '#3fbf5f', 'ELM2': '#3f4dbf', 'EMP24_GP25L': '#3fbfa0', 'END': '#3f9abf', 'ENDO3c': '#60bf3f', 'ENT': '#3fbfbc', 'ENTH': '#3fbf8a', 'EPEND': '#9b3fbf', 'EPH_lbd': '#b9bf3f', 'ERCC4': '#983fbf', 'ETF': '#54bf3f', 'ETS': '#5f3fbf', 'EXOIII': '#3f86bf', 'EZ_HEAT': '#63bf3f', 'Elicitin': '#bf9b3f', 'Elong-fact-P_C': '#43bf3f', 'Elp3': '#40bf3f', 'Endonuclease_NS': '#54bf3f', 'Enolase_C': '#bfb13f', 'Enolase_N': '#853fbf', 'Ephrin_rec_like': '#3fbf43', 'EsV_1_7': '#933fbf', 'Excalibur': '#bf3fb3', 'FA': '#bf3f62', 'FA58C': '#683fbf', 'FABD': '#b7bf3f', 'FACT-Spt16_Nlob': '#3f80bf', 'FANCL_C': '#bf803f', 'FAS1': '#bf3f9f', 'FATC': '#3f52bf', 'FBA': '#3f84bf', 'FBD': '#3f78bf', 'FBG': '#bf3f71', 'FBOX': '#3fbebf', 'FCD': '#3fbf9f', 'FCH': '#9abf3f', 'FDF': '#3fbf7c', 'FDX-ACB': '#bf3f5c', 'FERM_C': '#a6bf3f', 'FES': '#96bf3f', 'FF': '#3fbf45', 'FGF': '#bf3fa1', 'FH': '#aebf3f', 'FH2': '#4cbf3f', 'FHA': '#79bf3f', 'FIMAC': '#bf3fa1', 'FISNA': '#423fbf', 'FIST': '#3fbfb3', 'FIST_C': '#3fa1bf', 'FKS1_dom1': '#3fbfa2', 'FMN_bind': '#bfa33f', 'FN1': '#753fbf', 'FN2': '#3f97bf', 'FN3': '#3f7ebf', 'FOLN': '#3f4cbf', 'FRG': '#bf3f5a', 'FRI': '#3fbfa5', 'FSA_C': '#3fbf80', 'FTCD': '#9f3fbf', 'FTCD_N': '#bf493f', 'FTO_NTD': '#3f47bf', 'FTP': '#a33fbf', 'FU': '#bf413f', 'FYRC': '#bf3f4a', 'FYRN': '#3f6dbf', 'FYVE': '#bf3f87', 'Fapy_DNA_glyco': '#703fbf', 'Fe_hyd_SSU': '#bf3f62', 'FeoA': '#3f53bf', 'FerA': '#bf3f84', 'FerB': '#3f7bbf', 'FerI': '#3f46bf', 'Fib_alpha': '#bf5e3f', 'Fibrillarin': '#3fb4bf', 'Filament': '#3fa1bf', 'Flavin_Reduct': '#bf8b3f', 'Flavokinase': '#3fbf86', 'Flo11': '#54bf3f', 'Flu_M1_C': '#bf3f99', 'Fmp27_GFWDK': '#bf3fad', 'Fmp27_SW': '#3f7bbf', 'Fmp27_WPPW': '#3fbfba', 'Fn3_like': '#bf5b3f', 'FoP_duplication': '#3f89bf', 'FolB': '#bf3f51', 'Frataxin_Cyay': '#77bf3f', 'Frizzled': '#993fbf', 'FtsA': '#3f50bf', 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'UreE_N': '#72bf3f', 'V4R': '#3fabbf', 'VHP': '#bcbf3f', 'VHS': '#bf603f', 'VIT': '#bf3f81', 'VKc': '#783fbf', 'VPS10': '#bf3f98', 'VPS9': '#b93fbf', 'VRR_NUC': '#3fbf7d', 'VWA': '#9f3fbf', 'VWC': '#bf9d3f', 'VWD': '#3f75bf', 'Viral_Rep': '#bf473f', 'WAP': '#3fbf51', 'WD40': '#abbf3f', 'WGR': '#bf3f53', 'WH1': '#bf3f51', 'WH2': '#413fbf', 'WHEP-TRS': '#bd3fbf', 'WHy': '#3fbf6b', 'WIF': '#80bf3f', 'WNT1': '#3f75bf', 'WR1': '#3f4cbf', 'WRKY': '#bfb73f', 'WSC': '#bf633f', 'WSN': '#3fbfad', 'WW': '#bf3f93', 'WWE': '#3fb2bf', 'X8': '#6d3fbf', 'XPGI': '#4bbf3f', 'XPGN': '#3fb2bf', 'XTALbg': '#3fbf5f', 'Xer': '#bf3f6a', 'Y1_Tnp': '#b63fbf', 'YARHG': '#bf3f4a', 'YL1_C': '#bf9b3f', 'YaeQ': '#bf8b3f', 'YajC': '#3fbf42', 'YccV-like': '#bf573f', 'YceI': '#b03fbf', 'YqgFc': '#77bf3f', 'ZM': '#a0bf3f', 'ZP': '#3f91bf', 'ZU5': '#43bf3f', 'Zalpha': '#3fa7bf', 'Zds_C': '#b6bf3f', 'ZipA_C': '#3f86bf', 'ZnF_A20': '#bf4c3f', 'ZnF_AN1': '#bf7e3f', 'ZnF_BED': '#bf643f', 'ZnF_C2C2': '#3fbf40', 'ZnF_C2H2': 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'Phage_GPA': '#3fbf4f', 'Phage_integrase': '#3f60bf', 'PhnA_Zn_Ribbon': '#bf3f5f', 'Piwi': '#76bf3f', 'PlsC': '#79bf3f', 'Plus3': '#bf3f92', 'PolyA': '#4fbf3f', 'PostSET': '#3fbf62', 'PreSET': '#3fa3bf', 'PriCT_1': '#3fbfba', 'Pribosyltran_N': '#3fbf8b', 'Prim-Pol': '#4fbf3f', 'Prim_Zn_Ribbon': '#7f3fbf', 'Pro-kuma_activ': '#5bbf3f', 'Pro-rich': '#bf3f8e', 'ProQ': '#bf3f44', 'ProRS-C_1': '#69bf3f', 'Pro_CA': '#3f81bf', 'Proteasome_A_N': '#bf3f8e', 'Pumilio': '#bf3f50', 'QLQ': '#bf3f84', 'R3H': '#63bf3f', 'RA': '#bfbb3f', 'RAB': '#bf7e3f', 'RAN': '#3f41bf', 'RAP': '#3fbebf', 'RAS': '#3fbf9f', 'RBD': '#4d3fbf', 'RB_A': '#533fbf', 'REC': '#3fbf5c', 'RES': '#3fbf4b', 'RESP18': '#3f7ebf', 'RFX5_DNA_bdg': '#68bf3f', 'RGS': '#3fbabf', 'RHO': '#bf9a3f', 'RHOD': '#3f61bf', 'RIBOc': '#813fbf', 'RICIN': '#3f5ebf', 'RICTOR_M': '#bf983f', 'RICTOR_N': '#3f7dbf', 'RICTOR_V': '#bf983f', 'RICTOR_phospho': '#6e3fbf', 'RIIa': '#bf3f88', 'RING': '#7b3fbf', 'RINGv': '#3fbf69', 'RIO': '#3f4cbf', 'RL11': '#503fbf', 'RNA_pol_Rpb6': '#bf3f62', 'RNAse_Pc': '#3fbf69', 'RNB': '#3fbf9c', 'RPEL': '#3fbfa7', 'RPOL4c': '#96bf3f', 'RPOL8c': '#b0bf3f', 'RPOL9': '#bf3f7c', 'RPOLA_N': '#3fbf5c', 'RPOLCX': '#bf3f71', 'RPOLD': '#823fbf', 'RPOL_N': '#bf3fa7', 'RPR': '#96bf3f', 'RQC': '#3f78bf', 'RRM': '#6d3fbf', 'RTC4': '#bf3f51', 'RUN': '#99bf3f', 'RWD': '#3fbf83', 'RanBD': '#b93fbf', 'Rapamycin_bind': '#3f78bf', 'Raptor_N': '#93bf3f', 'RasGAP': '#3f3fbf', 'RasGEF': '#3fbf4f', 'RasGEFN': '#bf9e3f', 'RasGEF_N_2': '#bf3f54', 'Ras_bdg_2': '#3fbf96', 'Rb_C': '#bf3f44', 'RelA_SpoT': '#bf3f82', 'Relaxase': '#883fbf', 'Rep_1': '#3f87bf', 'Rep_2': '#5dbf3f', 'Rep_N': '#a3bf3f', 'Resolvase': '#bf583f', 'RhoGAP': '#3f72bf', 'RhoGEF': '#bf3f8d', 'Rho_N': '#3fbfa5', 'Ribosomal_L14': '#3fa0bf', 'Ribosomal_L15e': '#8ebf3f', 'Ribosomal_L19e': '#3fbfab', 'Ribosomal_L2': '#923fbf', 'Ribosomal_L2_C': '#3fbfa8', 'Ribosomal_L31e': '#bf4d3f', 'Ribosomal_L32e': '#873fbf', 'Ribosomal_L40e': '#bf7d3f', 'Ribosomal_S10': '#3f46bf', 'Ribosomal_S13_N': '#3fbfb4', 'Ribosomal_S15': '#853fbf', 'Ribosomal_S19e': '#bf3f54', 'Ribosomal_S27': '#bf3f9f', 'Ribosomal_S3Ae': '#58bf3f', 'Ribosomal_S4': '#bf3f76', 'Ribosomal_S6e': '#bf3f40', 'RitA': '#3f98bf', 'RitB': '#3f4abf', 'RitC': '#3fbf90', 'Robl_LC7': '#3fabbf', 'Romo1': '#3f70bf', 'Rtt106': '#3fbfa2', 'RuBisCO_small': '#3f5ebf', 'S1': '#3f43bf', 'S4': '#bf473f', 'SAA': '#3f43bf', 'SAF': '#3f5ebf', 'SAM': '#3fa7bf', 'SAM_HD_adjacent': '#bf3fa7', 'SAM_PNT': '#3f63bf', 'SAND': '#bf773f', 'SANT': '#bf5d3f', 'SAP': '#3f4dbf', 'SAPA': '#3fbf6c', 'SAR': '#3fbf82', 'SARA': '#54bf3f', 'SATase_N': '#bf4c3f', 'SCAN': '#bf3f90', 'SCP': '#bf943f', 'SCPU': '#3fbdbf', 'SCY': '#3fa0bf', 'SEA': '#af3fbf', 'SEC14': '#3fbfa8', 'SEL1': '#3f7abf', 'SEP': '#3fbfb0', 'SERPIN': '#bf6d3f', 'SET': '#bd3fbf', 'SFM': '#3f9dbf', 'SH2': '#3fbf49', 'SH3': '#7f3fbf', 'SH3b': '#bf5e3f', 'SHR3_chaperone': '#99bf3f', 'SIGNAL': '#bf8b3f', 'SMC_hinge': '#ad3fbf', 'SMI1_KNR4': '#5fbf3f', 'SMR': '#3f94bf', 'SNc': '#3fbf8a', 'SO': '#bf3f45', 'SOCS': '#7e3fbf', 'SOCS_box': '#3f67bf', 'SPEC': '#83bf3f', 'SPK': '#8a3fbf', 'SPOB_ab': '#753fbf', 'SPRY': '#79bf3f', 'SPT16': '#3fb1bf', 'SPT2': '#3f61bf', 'SR': '#41bf3f', 'SRA': '#ac3fbf', 'SRP54': '#3fbfaa', 'SRP54_N': '#bf443f', 'START': '#3fb4bf', 'STAT_int': '#3f5dbf', 'STE': '#753fbf', 'STI': '#bf3f5f', 'STI1': '#443fbf', 'STN': '#52bf3f', 'STYKc': '#3f80bf', 'SVWC': '#bf663f', 'SWAP': '#3f58bf', 'SWIB': '#963fbf', 'S_100': '#bf573f', 'S_TK_X': '#583fbf', 'S_TKc': '#423fbf', 'SapB': '#733fbf', 'Sds3': '#3fbabf', 'Sec3-PIP2_bind': '#bfaf3f', 'Sec63': '#bf3f76', 'Sec7': '#bf7b3f', 'SecA_DEAD': '#3f9bbf', 'SecA_PP_bind': '#bf5a3f', 'Sema': '#3fbfa5', 'Semialdhyde_dh': '#bf3f76', 'ShKT': '#b1bf3f', 'Skp1': '#bf3f9c', 'Sm': '#3f8fbf', 'SnAC': '#aa3fbf', 'Solute_trans_a': '#bf863f', 'Sorb': '#bf6c3f', 'Spc7': '#3fbf8d', 'Spc7_N': '#bf7b3f', 'Spo7_2_N': '#bf3f61', 'SpoU_sub_bind': '#4a3fbf', 'SpoVT_AbrB': '#3f59bf', 'SprT': '#3fbf9a', 'Spt4': '#bf3f4a', 'Sybindin': '#3fbf5f', 'SynN': '#bfbb3f', 'T5orf172': '#3f4dbf', 'TAF': '#97bf3f', 'TAFH': '#bf3f5c', 'TAFII55_N': '#48bf3f', 'TAN': '#bf3f40', 'TAP_C': '#bf873f', 'TBC': '#bfa93f', 'TBOX': '#82bf3f', 'TDU': '#443fbf', 'TEA': '#bf583f', 'TECPR': '#55bf3f', 'TFIIA': '#3fbf9d', 'TFIIE': '#57bf3f', 'TFS2M': '#3f81bf', 'TFS2N': '#3fbf82', 'TGFB': '#3f47bf', 'TGc': '#bf4d3f', 'THAP': '#bd3fbf', 'THEG': '#bf553f', 'THN': '#adbf3f', 'THUMP': '#bf673f', 'THY': '#3f7ebf', 'TIFY': '#3f5ebf', 'TIR': '#5f3fbf', 'TK': '#bf3f68', 'TLC': '#3fbf86', 'TLDc': '#bf773f', 'TNF': '#bf983f', 'TNFR': '#bf813f', 'TOG': '#bf743f', 'TOP1Ac': '#3f4fbf', 'TOP1Bc': '#8a3fbf', 'TOP2c': '#4fbf3f', 'TOP4c': '#3f55bf', 'TOPEUc': '#3f8fbf', 'TOPRIM': '#65bf3f', 'TPK_B1_binding': '#3fbfb3', 'TPR': '#bf3f6e', 'TRANS': '#3fbf65', 'TRASH': '#bf3f78', 'TRCF': '#bf3fa5', 'TRP_2': '#bf9e3f', 'TRP_N': '#45bf3f', 'TR_FER': '#7fbf3f', 'TR_THY': '#3f50bf', 'TSP1': '#3fbf91', 'TSPN': '#bf3f61', 'TSPc': '#3fbf5c', 'TUDOR': '#3f84bf', 'TY': '#bf3f45', 'Tankyrase_bdg_C': '#40bf3f', 'TarH': '#3fbf9c', 'Tbf5': '#3fb2bf', 'Telo_bind': '#793fbf', 'Telomerase_RBD': '#bf3fb0', 'Tet_JBP': '#bf3f9f', 'Thiol-ester_cl': '#3f4cbf', 'Thymopoietin': '#763fbf', 'TilS_C': '#3f6fbf', 'Tim44': '#3f6dbf', 'Tn7_Tnp_TnsA_N': '#3fbf60', 'TnpA': '#60bf3f', 'TnpR': '#b7bf3f', 'Tower': '#8bbf3f', 'Trans_reg_C': '#3fb5bf', 'Transket_pyr': '#bf813f', 'Transposase_20': '#3fbf93', 'Transposase_21': '#3f66bf', 'Transposase_31': '#3fbf52', 'Transposase_mut': '#5e3fbf', 'TrwC': '#3f5ebf', 'Tryp_SPc': '#bdbf3f', 'Tubulin': '#bf3f96', 'Tubulin_C': '#bf663f', 'TyrKc': '#3f70bf', 'UAS': '#9e3fbf', 'UBA': '#9cbf3f', 'UBA_e1_C': '#3fbf60', 'UBCc': '#adbf3f', 'UBQ': '#b4bf3f', 'UBX': '#3fbf65', 'UDG': '#b93fbf', 'UDPG_MGDP_dh_C': '#b1bf3f', 'UIM': '#bf3fa2', 'UME': '#bf3fb5', 'UTG': '#bf3f5c', 'UTRA': '#bf673f', 'Ubox': '#7abf3f', 'UreE_C': '#3fbfb3', 'UreE_N': '#72bf3f', 'V4R': '#3fabbf', 'VHP': '#bcbf3f', 'VHS': '#bf603f', 'VIT': '#bf3f81', 'VKc': '#783fbf', 'VPS10': '#bf3f98', 'VPS9': '#b93fbf', 'VRR_NUC': '#3fbf7d', 'VWA': '#9f3fbf', 'VWC': '#bf9d3f', 'VWD': '#3f75bf', 'Viral_Rep': '#bf473f', 'WAP': '#3fbf51', 'WD40': '#abbf3f', 'WGR': '#bf3f53', 'WH1': '#bf3f51', 'WH2': '#413fbf', 'WHEP-TRS': '#bd3fbf', 'WHy': '#3fbf6b', 'WIF': '#80bf3f', 'WNT1': '#3f75bf', 'WR1': '#3f4cbf', 'WRKY': '#bfb73f', 'WSC': '#bf633f', 'WSN': '#3fbfad', 'WW': '#bf3f93', 'WWE': '#3fb2bf', 'X8': '#6d3fbf', 'XPGI': '#4bbf3f', 'XPGN': '#3fb2bf', 'XTALbg': '#3fbf5f', 'Xer': '#bf3f6a', 'Y1_Tnp': '#b63fbf', 'YARHG': '#bf3f4a', 'YL1_C': '#bf9b3f', 'YaeQ': '#bf8b3f', 'YajC': '#3fbf42', 'YccV-like': '#bf573f', 'YceI': '#b03fbf', 'YqgFc': '#77bf3f', 'ZM': '#a0bf3f', 'ZP': '#3f91bf', 'ZU5': '#43bf3f', 'Zalpha': '#3fa7bf', 'Zds_C': '#b6bf3f', 'ZipA_C': '#3f86bf', 'ZnF_A20': '#bf4c3f', 'ZnF_AN1': '#bf7e3f', 'ZnF_BED': '#bf643f', 'ZnF_C2C2': '#3fbf40', 'ZnF_C2H2': '#bf3f59', 'ZnF_C2HC': '#5dbf3f', 'ZnF_C3H1': '#bf443f', 'ZnF_C4': '#bf803f', 'ZnF_CDGSH': '#3fbf49', 'ZnF_CHCC': '#9f3fbf', 'ZnF_DBF': '#3fbf59', 'ZnF_GATA': '#7cbf3f', 'ZnF_NFX': '#bd3fbf', 'ZnF_PMZ': '#a8bf3f', 'ZnF_RBZ': '#3f9dbf', 'ZnF_Rad18': '#3fbf93', 'ZnF_TAZ': '#bf6a3f', 'ZnF_TTF': '#3f5dbf', 'ZnF_U1': '#bf3f8b', 'ZnF_UBP': '#3fbf85', 'ZnF_UBR1': '#3f80bf', 'ZnF_ZZ': '#bf803f', 'ZnMc': '#8ebf3f', 'Zn_dep_PLPC': '#723fbf', 'Zn_pept': '#bf3f4d', 'Zpr1': '#aebf3f', 'acidPPc': '#bf443f', 'alkPPc': '#3f55bf', 'btg1': '#bf773f', 'c-SKI_SMAD_bind': '#bf3f84', 'c-clamp': '#533fbf', 'cNMP': '#3fbf57', 'calpain_III': '#a13fbf', 'cas1': '#7abf3f', 'cwf21': '#3fbf5c', 'dDENN': '#3f7bbf', 'eIF-5a': '#bf4d3f', 'eIF1a': '#bf5e3f', 'eIF2B_5': '#3fbf77', 'eIF3_N': '#3f92bf', 'eIF5C': '#3f86bf', 'eIF6': '#7c3fbf', 'eRF1_1': '#3f5ebf', 'efhand_Ca_insen': '#bf3f8a', 'fCBD': '#3f77bf', 'huh_y1': '#3f8fbf', 'huh_y2': '#bfb23f', 'malic': '#3fbf4b', 'rADc': '#a33fbf', 'rve': '#3fbf8a', 'rve_2': '#3fbf52', 'rve_3': '#b53fbf', 's48_45': '#3fbdbf', 'ser_ce': '#68bf3f', 'ser_lsr': '#4ebf3f', 'ser_tn': '#82bf3f', 'small_GTPase': '#bf443f', 'tRNA_SAD': '#b6bf3f', 't_SNARE': '#3f44bf', 'uDENN': '#3fbf71', 'zf-3CxxC': '#3facbf', 'zf-AD': '#a8bf3f', 'zf-C4_ClpX': '#bf3f40', 'zf-PARP': '#3f3fbf'}, column=21, *args, **kwargs)

etecompare

class LayoutEteDiffDistance(name='ETE diff distance', diff_node_color='#a50000', diff_node_size=4)

__init__(name='ETE diff distance', diff_node_color='#a50000', diff_node_size=4)

set_node_style(node)

evocell

class LayoutHumanOGs(name='Human OGs', human_orth_prop='human_orth', column=5, color='#6b92d6')

__init__(name='Human OGs', human_orth_prop='human_orth', column=5, color='#6b92d6')

set_node_style(node)

class LayoutUCSC(name='UCSC', column=6, nodecolor='#800000', nodesize=5, textcolor='#c43b5d')

__init__(name='UCSC', column=6, nodecolor='#800000', nodesize=5, textcolor='#c43b5d')

set_node_style(node)

class LayoutUCSCtrans(name='UCSC Trans', ucsc_trans_prop='ucsc_trans', column=4, color='#6b92d6')

__init__(name='UCSC Trans', ucsc_trans_prop='ucsc_trans', column=4, color='#6b92d6')

set_node_style(node)

evol_events

class LayoutEvolEvents(name='Evolutionary events', prop='evol_event', speciation_color='blue', duplication_color='red', legend=True)

__init__(name='Evolutionary events', prop='evol_event', speciation_color='blue', duplication_color='red', legend=True)

set_node_style(node)

set_tree_style(tree, tree_style)

ncbi_taxonomy

class LayoutLastCommonAncestor(name='Last common ancestor', rect_width=15, column=1000)

Node properties needed

taxid:

color

sci_name:

text shown

__init__(name='Last common ancestor', rect_width=15, column=1000)

get_color(node)

set_node_style(node)

phylocloud_egg5

get_layout_evoltype()

get_layout_gnames()

get_layout_lca_rects()

get_layout_ogs_egg5()

get_layout_sciname()

seq

class LayoutAlignment(name='Alignment', alignment=None, format='seq', width=700, height=15, column=0, range=None, summarize_inner_nodes=False)

__init__(name='Alignment', alignment=None, format='seq', width=700, height=15, column=0, range=None, summarize_inner_nodes=False)

get_seq(node)

set_node_style(node)

set_tree_style(tree, tree_style)

spongilla

class LayoutAutoName(name='Auto name', text_color='grey')

__init__(name='Auto name', text_color='grey')

set_node_style(node)

class LayoutCuratedName(name='Preferred name', text_color='black')

__init__(name='Preferred name', text_color='black')

set_node_style(node)

class LayoutEukOgs(name='OGs euk', text_color='grey')

__init__(name='OGs euk', text_color='grey')

set_node_style(node)

class LayoutPreferredName(name='Preferred name', text_color='#fb3640')

__init__(name='Preferred name', text_color='#fb3640')

set_node_style(node)

class LayoutSciName(name='Scientific name')

__init__(name='Scientific name')

set_node_style(node)

class LayoutSeeds(name='Seeds', text_color='grey')

__init__(name='Seeds', text_color='grey')

set_node_style(node)

staple

class LayoutBarplot(name=None, width=200, size_prop=None, color_prop=None, position='aligned', column=0, color_gradient=None, color='red', colors=None, padding_x=10, scale=True, legend=True, active=True)

__init__(name=None, width=200, size_prop=None, color_prop=None, position='aligned', column=0, color_gradient=None, color='red', colors=None, padding_x=10, scale=True, legend=True, active=True)

set_node_style(node)

set_tree_style(tree, tree_style)